You Only Cut Once: Boosting Data Augmentation with a Single Cut


You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time


You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks


You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection


You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors


You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception


You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detection


You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts


You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network


You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection


You Only Need Adversarial Supervision for Semantic Image Synthesis


You Only Need Half: Boosting Data Augmentation by Using Partial Content


You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking


You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content


You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling


You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs


You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms


You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment


You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection


You Only Use Reactive Attention Slice For Long Context Retrieval


You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source


You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale


You Shall Not Pass: Warning Drivers of Unsafe Overtaking Maneuvers on Country Roads by Predicting Safe Sight Distance


You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona


You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks


You are a Bot! -- Studying the Development of Bot Accusations on Twitter


You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership


You can remove GPT2's LayerNorm by fine-tuning


You can't always get what you want: towards user-controlled privacy on Android


You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling


You can't pick your neighbors, or can you? When and how to rely on retrieval in the $k$NN-LM


You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments


You shall not pass: Mitigating SQL Injection Attacks on Legacy Web Applications


You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights


You were saying? - Spoken Language in the V3C Dataset


You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG


You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions


YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos


YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles


YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos


YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations


YouTube-GDD: A challenging gun detection dataset with rich contextual information


YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children


Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks


Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition


Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture


Your "Flamingo" is My "Bird": Fine-Grained, or Not


Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data


Your Assumed DAG is Wrong and Here's How To Deal With It


Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability


Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World


Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials


Your Code is 0000: An Analysis of the Disposable Phone Numbers Ecosystem


Your DRM Can Watch You Too: Exploring the Privacy Implications of Browsers (mis)Implementations of Widevine EME


Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training


Your Diffusion Model is Secretly a Zero-Shot Classifier


Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models


Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free


Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination


Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification


Your Out-of-Distribution Detection Method is Not Robust!


Your Router is My Prober: Measuring IPv6 Networks via ICMP Rate Limiting Side Channels


Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark


Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media


Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models


Your Transformer May Not be as Powerful as You Expect


Your ViT is Secretly an Image Segmentation Model


Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection


Your contrastive learning problem is secretly a distribution alignment problem


Your copula is a classifier in disguise: classification-based copula density estimation


Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships


Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting


YourBench: Easy Custom Evaluation Sets for Everyone


YuE: Scaling Open Foundation Models for Long-Form Music Generation


YuLan-Mini: An Open Data-efficient Language Model


YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models


YuLan: An Open-source Large Language Model


Yuan 2.0-M32: Mixture of Experts with Attention Router


Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images


Yucca: A Deep Learning Framework For Medical Image Analysis


Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language


Z Specification for the W3C Editor's Draft Core SHACL Semantics


Z'-explorer: a simple tool to probe Z' models against LHC data


Z-Forcing: Training Stochastic Recurrent Networks


Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting


Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations


Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination


Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation


Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI


Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion


Z-checker: A Framework for Assessing Lossy Compression of Scientific Data


Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM Volumes


Z1: Efficient Test-time Scaling with Code


Z2P: Instant Visualization of Point Clouds


ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset


ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish


ZARA: Improving Few-Shot Self-Rationalization for Small Language Models


ZBanner: Fast Stateless Scanning Capable of Obtaining Responses over TCP


ZC3: Zero-Shot Cross-Language Code Clone Detection


ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space


ZClip: Adaptive Spike Mitigation for LLM Pre-Training


ZDNS: A Fast DNS Toolkit for Internet Measurement


ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering


ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders


ZERNIPAX: A Fast and Accurate Zernike Polynomial Calculator in Python


ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification


ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization


ZETH: On Integrating Zerocash on Ethereum


ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data


ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development


ZIM: Zero-Shot Image Matting for Anything


ZIN: When and How to Learn Invariance Without Environment Partition?


ZIPA: A family of efficient models for multilingual phone recognition


ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors


ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning


ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks


ZKFault: Fault attack analysis on zero-knowledge based post-quantum digital signature schemes


ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices


ZLeaks: Passive Inference Attacks on Zigbee based Smart Homes


ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization


ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm


ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis


ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest


ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS


ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition


ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation


ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning


ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations


ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination


ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions


ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference


ZUPT Aided GNSS Factor Graph with Inertial Navigation Integration for Wheeled Robots


ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking


ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds


Zambezi Voice: A Multilingual Speech Corpus for Zambian Languages


ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack


ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification


ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting


ZePo: Zero-Shot Portrait Stylization with Faster Sampling


ZeQR: Zero-shot Query Reformulation for Conversational Search


Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge


ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation


Zebrafix: Mitigating Memory-Centric Side-Channel Leakage via Interleaving


Zecale: Reconciling Privacy and Scalability on Ethereum


Zeeman and spin-orbit effects in the Andreev spectra of nanowire junctions


ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation


Zeitenwenden: Detecting changes in the German political discourse


Zeitlin's model for axisymmetric 3-D Euler equations


Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks


ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science


Zenkai -- Framework For Exploring Beyond Backpropagation


Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance


Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving


Zep: A Temporal Knowledge Graph Architecture for Agent Memory


Zeph: Cryptographic Enforcement of End-to-End Data Privacy


ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation


ZerO Initialization: Initializing Neural Networks with only Zeros and Ones


Zernike moments description of solar and astronomical features: Python code


Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning


Zero Inflation as a Missing Data Problem: a Proxy-based Approach


Zero Pixel Directional Boundary by Vector Transform


Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement


Zero Shot Context-Based Object Segmentation using SLIP (SAM+CLIP)


Zero Shot Health Trajectory Prediction Using Transformer


Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference


Zero Stability Well Predicts Performance of Convolutional Neural Networks


Zero Trust Federation: Sharing Context under User Control toward Zero Trust in Identity Federation


Zero and Few-shot Semantic Parsing with Ambiguous Inputs


Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks


Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning


Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis


Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion


Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech Representations


Zero-Assignment Constraint for Graph Matching with Outliers


Zero-Cost Operation Scoring in Differentiable Architecture Search


Zero-Coupon Treasury Rates and Returns using the Volatility Index


Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS


Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications


Zero-Knowledge Proof Frameworks: A Systematic Survey


Zero-Order Control Barrier Functions for Sampled-Data Systems with State and Input Dependent Safety Constraints


Zero-Order Optimization for Gaussian Process-based Model Predictive Control


Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis


Zero-Pair Image to Image Translation using Domain Conditional Normalization


Zero-Permutation Jet-Parton Assignment using a Self-Attention Network


Zero-Reference Image Restoration for Under-Display Camera of UAV


Zero-Resource Cross-Lingual Named Entity Recognition


Zero-Resource Hallucination Prevention for Large Language Models


Zero-Resource Knowledge-Grounded Dialogue Generation


Zero-Shot 3D Drug Design by Sketching and Generating


Zero-Shot Action Recognition from Diverse Object-Scene Compositions


Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics


Zero-Shot Aerial Object Detection with Visual Description Regularization


Zero-Shot Anomaly Detection via Batch Normalization


Zero-Shot Artifact2Artifact: Self-incentive artifact removal for photoacoustic imaging without any data


Zero-Shot Category-Level Object Pose Estimation


Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion


Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition


Zero-Shot Class Unlearning in CLIP with Synthetic Samples


Zero-Shot Classification by Logical Reasoning on Natural Language Explanations


Zero-Shot Co-salient Object Detection Framework


Zero-Shot Complex Question-Answering on Long Scientific Documents


Zero-Shot Compositional Policy Learning via Language Grounding


Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints


Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models


Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer


Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data


Zero-Shot Crate Digging: DJ Tool Retrieval Using Speech Activity, Music Structure And CLAP Embeddings


Zero-Shot Cross-Domain Code Search without Fine-Tuning


Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation


Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation


Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph


Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages


Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models


Zero-Shot Cross-Lingual Transfer with Meta Learning


Zero-Shot Cross-lingual Semantic Parsing


Zero-Shot Day-Night Domain Adaptation with a Physics Prior


Zero-Shot Denoising for Fluorescence Lifetime Imaging Microscopy with Intensity-Guided Learning


Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness


Zero-Shot Detection of Machine-Generated Codes


Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection


Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names


Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation


Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation


Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training


Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition


Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style


Zero-Shot Fact Verification via Natural Logic and Large Language Models


Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema


Zero-Shot Grounding of Objects from Natural Language Queries


Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control


Zero-Shot Image Denoising for High-Resolution Electron Microscopy


Zero-Shot Image Harmonization with Generative Model Prior


Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)


Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation


Zero-Shot Iterative Formalization and Planning in Partially Observable Environments


Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model


Zero-Shot Knowledge Distillation in Deep Networks


Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping


Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation


Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking


Zero-Shot Learning for Requirements Classification: An Exploratory Study


Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion


Zero-Shot Multi-View Indoor Localization via Graph Location Networks


Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping


Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities


Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network


Zero-Shot Offline Imitation Learning via Optimal Transport


Zero-Shot Open Entity Typing as Type-Compatible Grounding


Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP


Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure


Zero-Shot Program Representation Learning


Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation


Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning


Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types


Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem


Zero-Shot Recommendation as Language Modeling


Zero-Shot Relational Learning for Multimodal Knowledge Graphs


Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models


Zero-Shot Robustification of Zero-Shot Models


Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning


Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction


Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration


Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)


Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space


Zero-Shot Self-Supervised Learning for MRI Reconstruction


Zero-Shot Semantic Parsing for Instructions


Zero-Shot Stance Detection using Contextual Data Generation with LLMs


Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations


Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities


Zero-Shot Super-Resolution from Unstructured Data Using a Transformer-Based Neural Operator for Urban Micrometeorology


Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2


Zero-Shot Temporal Interaction Localization for Egocentric Videos


Zero-Shot Text Classification via Self-Supervised Tuning


Zero-Shot Text Classification with Self-Training


Zero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment


Zero-Shot Transfer Learning for Event Extraction


Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping


Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking


Zero-Shot Transfer of Haptics-Based Object Insertion Policies


Zero-Shot Tree Detection and Segmentation from Aerial Forest Imagery


Zero-Shot Underwater Gesture Recognition


Zero-Shot Video Captioning with Evolving Pseudo-Tokens


Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks


Zero-Shot Video Question Answering via Frozen Bidirectional Language Models


Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models


Zero-Shot Vision Encoder Grafting via LLM Surrogates


Zero-Shot Visual Concept Blending Without Text Guidance


Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts


Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing


Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video Enhancement


Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT


Zero-guidance Segmentation Using Zero Segment Labels


Zero-inflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data


Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants


Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts


Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data


Zero-shot Bilingual App Reviews Mining with Large Language Models


Zero-shot Causal Graph Extrapolation from Text via LLMs


Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction


Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization


Zero-shot Commonsense Reasoning over Machine Imagination


Zero-shot Cross-lingual Conversational Semantic Role Labeling


Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation


Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders


Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning


Zero-shot Fact Verification by Claim Generation


Zero-shot Factual Consistency Evaluation Across Domains


Zero-shot Faithful Factual Error Correction


Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model


Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts


Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection


Zero-shot Generative Linguistic Steganography


Zero-shot Generative Model Adaptation via Image-specific Prompt Learning


Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation


Zero-shot Learning for Audio-based Music Classification and Tagging


Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening


Zero-shot Learning via Simultaneous Generating and Learning


Zero-shot Learning with Class Description Regularization


Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models


Zero-shot Model-based Reinforcement Learning using Large Language Models


Zero-shot Natural Language Video Localization


Zero-shot Node Classification with Decomposed Graph Prototype Network


Zero-shot Nuclei Detection via Visual-Language Pre-trained Models


Zero-shot Object Counting with Good Exemplars


Zero-shot Object Detection Through Vision-Language Embedding Alignment


Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition


Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions


Zero-shot Referring Image Segmentation with Global-Local Context Features


Zero-shot Relation Classification from Side Information


Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers


Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization


Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment


Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features


Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks


Zero-shot Translation of Attention Patterns in VQA Models to Natural Language


Zero-shot Triplet Extraction by Template Infilling


Zero-shot Unsupervised Transfer Instance Segmentation


Zero-shot Visual Commonsense Immorality Prediction


Zero-shot Visual Question Answering with Language Model Feedback


Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models


Zero-shot audio captioning with audio-language model guidance and audio context keywords


Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace


Zero-shot denoising via neural compression: Theoretical and algorithmic framework


Zero-shot generalization across architectures for visual classification


Zero-shot generation of synthetic neurosurgical data with large language models


Zero-shot sketch-based remote sensing image retrieval based on multi-level and attention-guided tokenization


Zero-shot transfer for implicit discourse relation classification


Zero-state Coupled Markov Switching Count Models for Spatio-temporal Infectious Disease Spread


Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing


Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model


ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time


ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic


ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment


ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech


ZeroER: Entity Resolution using Zero Labeled Examples


ZeroGUI: Automating Online GUI Learning at Zero Human Cost


ZeroGen: Efficient Zero-shot Learning via Dataset Generation


ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles


ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion


ZeroMerge: Parameter-Free KV Cache Compression for Memory-Efficient Long-Context LLMs


ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos


ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation


ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image


ZeroQ: A Novel Zero Shot Quantization Framework


ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding


ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media


ZeroSearch: Incentivize the Search Capability of LLMs without Searching


ZeroSearch: Local Image Search from Text with Zero Shot Learning


ZeroShape: Regression-based Zero-shot Shape Reconstruction


ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation


ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition


Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge


Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems


Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training


Zeroth-Order Fine-Tuning of LLMs in Random Subspaces


Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles


Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling


Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion


Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning


ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse


ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search


ZhoBLiMP: a Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese


Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue


ZhuSuan: A Library for Bayesian Deep Learning


ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients


Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC


ZigMa: A DiT-style Zigzag Mamba Diffusion Model


ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference


Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection


Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process


Zigzag persistence for coral reef resilience using a stochastic spatial model


ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality


ZipIt! Merging Models from Different Tasks without Training


ZipLM: Inference-Aware Structured Pruning of Language Models


Zipfian environments for Reinforcement Learning


Zipping Strategies and Attribute Grammars


ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization


ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation


ZoDIAC: Zoneout Dropout Injection Attention Calculation


ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer


ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation


Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction


ZombieLoad: Cross-Privilege-Boundary Data Sampling


Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity


Zone extrapolations in parametric timed automata


Zonotope Domains for Lagrangian Neural Network Verification


Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection


Zoom Out and Observe: News Environment Perception for Fake News Detection


Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains


Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein Instances


Zoom-to-Inpaint: Image Inpainting with High-Frequency Details


ZoomLDM: Latent Diffusion Model for multi-scale image generation


ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection


ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection


ZoomOut: Spectral Upsampling for Efficient Shape Correspondence


ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking


Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution


Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach


Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks


ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation


ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System


Zyda: A 1.3T Dataset for Open Language Modeling


[CII] Spectral Mapping of the Galactic Wind and Starbursting Disk of M82 with SOFIA


[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs


[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation


[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation


[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement


[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates


\texttt{BrahMap}: A scalable and modular map-making framework for the CMB experiments


`Oumuamua as a messenger from the Local Association


a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification


aPCoA: Covariate Adjusted Principal Coordinates Analysis


acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices


ad-trait: A Fast and Flexible Automatic Differentiation Library in Rust


adabmDCA 2.0 -- a flexible but easy-to-use package for Direct Coupling Analysis


adabmDCA: Adaptive Boltzmann machine learning for biological sequences


adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds


adcc: A versatile toolkit for rapid development of algebraic-diagrammatic construction methods


advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns


aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions


aeons: approximating the end of nested sampling


aether: Distributed system emulation in Common Lisp


agnpy: An open-source python package modelling the radiative processes of jetted active galactic nuclei


aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing


ajdmom: A Python Package for Deriving Moment Formulas of Affine Jump Diffusion Processes


altiro3D: Scene representation from single image and novel view synthesis


ana_cont: Python package for analytic continuation


anafi_ros: from Off-the-Shelf Drones to Research Platforms


animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics


any4: Learned 4-bit Numeric Representation for LLMs


anyH3: precise predictions for the trilinear Higgs coupling in the Standard Model and beyond


appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit


apricot: Submodular selection for data summarization in Python


apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters


arXiVeri: Automatic table verification with GPT


archNEMESIS: an open-source Python package for analysis of planetary atmospheric spectra


arcjetCV: an open-source software to analyze material ablation


arfpy: A python package for density estimation and generative modeling with adversarial random forests


ariaDNE: A Robustly Implemented Algorithm for Dirichlet Energy of the Normal


aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning


asimulation: Domain formation and impact on observables in resolved cosmological simulations of the (a)symmetron


astroABC: An Approximate Bayesian Computation Sequential Monte Carlo sampler for cosmological parameter estimation


astroplan: An Open Source Observation Planning Package in Python


atTRACTive: Semi-automatic white matter tract segmentation using active learning


auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks


audb -- Sharing and Versioning of Audio and Annotation Data in Python


audino: A Modern Annotation Tool for Audio and Speech


audioLIME: Listenable Explanations Using Source Separation


aura-net : robust segmentation of phase-contrast microscopy images with few annotations


auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory


auto-sktime: Automated Time Series Forecasting


autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm


autoboot: A generator of bootstrap equations with global symmetry


autofz: Automated Fuzzer Composition at Runtime


automan: a simple, Python-based, automation framework for numerical computing


baker: An R package for Nested Partially-Latent Class Models


balance -- a Python package for balancing biased data samples


baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents


baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling


batchboost: regularization for stabilizing training with resistance to underfitting & overfitting


batman: BAsic Transit Model cAlculatioN in Python


bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali Documents


beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems


bia-binder: A web-native cloud compute service for the bioimage analysis community


biggy: An Implementation of Unified Framework for Big Data Management System


bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical properties


biorecap: an R package for summarizing bioRxiv preprints with a local LLM


biquality-learn: a Python library for Biquality Learning


bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction


bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments


blob loss: instance imbalance aware loss functions for semantic segmentation


blocks_3d: Software for general 3d conformal blocks


bpftime: userspace eBPF Runtime for Uprobe, Syscall and Kernel-User Interactions


bsnsing: A decision tree induction method based on recursive optimal boolean rule composition


c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization


c-lasso -- a Python package for constrained sparse and robust regression and classification


c-trie++: A Dynamic Trie Tailored for Fast Prefix Searches


cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree


cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope


cTBLS: Augmenting Large Language Models with Conversational Tables


cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation


cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis


calculus: High Dimensional Numerical and Symbolic Calculus in R


catsHTM - A tool for fast accessing and cross-matching large astronomical catalogs


causalBETA: An R Package for Bayesian Semiparametric Causal Inference with Event-Time Outcomes


cedar: Optimized and Unified Machine Learning Input Data Pipelines


cegpy: Modelling with Chain Event Graphs in Python


cellanneal: A User-Friendly Deconvolution Software for Omics Data


ceylon: An R package for plotting the maps of Sri Lanka


cgSpan: Closed Graph-Based Substructure Pattern Mining


chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data


checkmate: Fast Argument Checks for Defensive R Programming


chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models


chowdsp_wdf: An Advanced C++ Library for Wave Digital Circuit Modelling


cij: A Python code for quasiharmonic thermoelasticity


cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing


cito: An R package for training neural networks using torch


cjdb: a simple, fast, and lean database solution for the CityGML data model


clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions


clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP


cliquematch: Finding correspondence via cliques in large graphs


clotFoam: An Open-Source Framework to Simulate Blood Clot Formation Under Arterial Flow


clusttraj: A Solvent-Informed Clustering Tool for Molecular Modeling


coExplore: Combining multiple rankings for multi-robot exploration


coVoxSLAM: GPU Accelerated Globally Consistent Dense SLAM


cogsworth: A Gala of COSMIC proportions combining binary stellar evolution and galactic dynamics


collapse: Advanced and Fast Statistical Computing and Data Transformation in R


colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes


commensurability: a Python package for classifying astronomical orbits based on their toroid volume


condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale


confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning


consexpressionR: an R package for consensus differential gene expression analysis


copMEM: Finding maximal exact matches via sampling both genomes


cortecs: A Python package for compressing opacities


cosFormer: Rethinking Softmax in Attention


cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates


cosmocnc: A fast, flexible, and accurate galaxy cluster number count likelihood code for cosmology


cosmosage: A Natural-Language Assistant for Cosmologists


coupledMatrixFoam: a foam-extend-based fully-implicit solver for heterogeneous porous media


covSTATIS: a multi-table technique for network neuroscience


coverforest: Conformal Predictions with Random Forest in Python


cozy: Comparative Symbolic Execution for Binary Programs


cp3-bench: A tool for benchmarking symbolic regression algorithms tested with cosmology


cpp11armadillo: An R Package to Use the Armadillo C++ Library


crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder


cuFFS: A GPU-accelerated code for Fast Faraday Rotation Measure Synthesis


cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores


cuFasterTucker: A Stochastic Optimization Strategy for Parallel Sparse FastTucker Decomposition on GPU Platform


cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language


cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms


cuPSS: a package for pseudo-spectral integration of stochastic PDEs


cuPentBatch -- A batched pentadiagonal solver for NVIDIA GPUs


cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation


cu_FastTucker: A Faster and Stabler Stochastic Optimization for Parallel Sparse Tucker Decomposition on Multi-GPUs


cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models


cyberaCTIve: a STIX-based Tool for Cyber Threat Intelligence in Complex Models


d-SEAMS: Deferred Structural Elucidation Analysis for Molecular Simulations


d-Sketch: Improving Visual Fidelity of Sketch-to-Image Translation with Pretrained Latent Diffusion Models without Retraining


dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance


dApps: Enabling Real-Time AI-Based Open RAN Control


dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification


dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing


dKV-Cache: The Cache for Diffusion Language Models


dPV: An End-to-End Differentiable Solar-Cell Simulator


dZiner: Rational Inverse Design of Materials with AI Agents


dabih -- encrypted data storage and sharing platform


dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference


data2lang2vec: Data Driven Typological Features Completion


data2vec-aqc: Search for the right Teaching Assistant in the Teacher-Student training setup


db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning


db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning


ddml: Double/debiased machine learning in Stata


de Broglie scale time delays in pulsar networks for ultralight dark matter


deBInfer: Bayesian inference for dynamical models of biological systems in R


deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models


deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search


deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling


debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias


decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating Points


deeplenstronomy: A dataset simulation package for strong gravitational lensing


deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks


depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers


dfreproject: A Python package for astronomical reprojection


dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs


dictNN: A Dictionary-Enhanced CNN Approach for Classifying Hate Speech on Twitter


diffConv: Analyzing Irregular Point Clouds with an Irregular View


diffGrad: An Optimization Method for Convolutional Neural Networks


digHolo : High-speed library for off-axis digital holography and Hermite-Gaussian decomposition


disco: Distributional Synthetic Controls


divERGe implements various Exact Renormalization Group examples


dlordinal: a Python package for deep ordinal classification


dm2gal: Mapping Dark Matter to Galaxies with Neural Networks


dna2vec: Consistent vector representations of variable-length k-mers


doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation


docExtractor: An off-the-shelf historical document element extraction


dolphin: A fully automated forward modeling pipeline powered by artificial intelligence for galaxy-scale strong lenses


dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans


dotears: Scalable, consistent DAG estimation using observational and interventional data


dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction


dpUGC: Learn Differentially Private Representation for User Generated Contents


dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation


dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation


dpvis: A Visual and Interactive Learning Tool for Dynamic Programming


drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network


dtaianomaly: A Python library for time series anomaly detection


dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching


dynamite: An R Package for Dynamic Multivariate Panel Models


dynoNet: a neural network architecture for learning dynamical systems


e-CARE: a New Dataset for Exploring Explainable Causal Reasoning


e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks


eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation


eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps


eGHWT: The Extended Generalized Haar-Walsh Transform


eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural Tanzania


eMotion-GAN: A Motion-based GAN for Photorealistic and Facial Expression Preserving Frontal View Synthesis


eP-ALM: Efficient Perceptual Augmentation of Language Models


ePSproc: Post-processing suite for ePolyScat electron-molecule scattering calculations


ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding


ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification


eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels


eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback


eTraj.jl: Trajectory-Based Simulation for Strong-Field Ionization


eVAE: Evolutionary Variational Autoencoder


eWaSR -- an embedded-compute-ready maritime obstacle detection network


eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules


eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure


easyCHEM: A Python package for calculating chemical equilibrium abundances in exoplanet atmospheres


easylayout: an R package for interactive force-directed layouts within RStudio


eccDNAMamba: A Pre-Trained Model for Ultra-Long eccDNA Sequence Analysis


ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph Optimization


echemdb Toolkit -- a Lightweight Approach to Getting Data Ready for Data Management Solutions


edGNN: a Simple and Powerful GNN for Directed Labeled Graphs


edge-SR: Super-Resolution For The Masses


edge2vec: Representation learning using edge semantics for biomedical knowledge discovery


eduPIC: an introductory particle based code for radio-frequency plasma simulation


eegFloss: A Python package for refining sleep EEG recordings using machine learning models


einspace: Searching for Neural Architectures from Fundamental Operations


eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles


eleanor: An open-source tool for extracting light curves from the TESS Full-Frame Images


elicito: A Python Package for Expert Prior Elicitation


emPDF: Inferring the Milky Way mass with data-driven distribution function in phase space


emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation


emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography


eminus -- Pythonic electronic structure theory


emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation


emucxl: an emulation framework for CXL-based disaggregated memory applications


epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition


equilibrium-c: A Lightweight Modern Equilibrium Chemistry Calculator for Hypersonic Flow Applications


ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network


ethraid: A simple method for characterizing long-period companions using Doppler, astrometric, and imaging constraints


evclust: Python library for evidential clustering


evoBPE: Evolutionary Protein Sequence Tokenization


evolSOM: an R Package for evolutionary conservation analysis with SOMs


ewN2HDECAY - A program for the Calculation of Electroweak One-Loop Corrections to Higgs Decays in the Next-to-Minimal Two-Higgs-Doublet Model Including State-of-the-Art QCD Corrections


exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem


exocartographer: A Bayesian Framework for Mapping Exoplanets in Reflected Light


exploreCOSMOS: Interactive Exploration of Conditional Statistical Shape Models in the Web-Browser


eyeballvul: a future-proof benchmark for vulnerability detection in the wild


ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms


ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution


ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline


ezcox: An R/CRAN Package for Cox Model Batch Processing and Visualization


f-Divergence Minimization for Sequence-Level Knowledge Distillation


f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization


f-GANs in an Information Geometric Nutshell


fETSmcs: Feature-based ETS model component selection


fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions


fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser


fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits


fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships


fMRI predictors based on language models of increasing complexity recover brain left lateralization


fRegGAN with K-space Loss Regularization for Medical Image Translation


fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library


fairlib: A Unified Framework for Assessing and Improving Classification Fairness


fairret: a Framework for Differentiable Fairness Regularization Terms


fasano.franceschini.test: An Implementation of a Multidimensional KS Test in R


fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP


fastMI: a fast and consistent copula-based estimator of mutual information


fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data


fastRESOLVE: fast Bayesian imaging for aperture synthesis in radio astronomy


fastabx: A library for efficient computation of ABX discriminability


fastball: A fast algorithm to sample bipartite graphs with fixed degree sequences


fastcpd: Fast Change Point Detection in R


fauci-email: a json digest of Anthony Fauci's released emails


faulTPM: Exposing AMD fTPMs' Deepest Secrets


fbSAT: Automatic Inference of Minimal Finite-State Models of Function Blocks Using SAT Solver


fenicsR13: A Tensorial Mixed Finite Element Solver for the Linear R13 Equations Using the FEniCS Computing Platform


ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities


flashcurve: A machine-learning approach for the simple and fast generation of adaptive-binning light curves with Fermi-LAT data


flavio: a Python package for flavour and precision phenomenology in the Standard Model and beyond


flexBART: Flexible Bayesian regression trees with categorical predictors


floodlight -- A high-level, data-driven sports analytics framework


fluke: Federated Learning Utility frameworK for Experimentation and research


fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods


ftint: Calculating gradient-flow integrals with pySecDec


fugashi, a Tool for Tokenizing Japanese in Python


funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores


funLOCI: a local clustering algorithm for functional data


funcGNN: A Graph Neural Network Approach to Program Similarity


fybrrStream: A WebRTC based Efficient and Scalable P2P Live Streaming Platform


g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset


g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin


g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection


g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks


gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy


gDDIM: Generalized denoising diffusion implicit models


gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography


gFaaS: Enabling Generic Functions in Serverless Computing


gFlora: a topology-aware method to discover functional co-response groups in soil microbial communities


gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling


gRNAde: Geometric Deep Learning for 3D RNA inverse design


gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach


gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method


gadfly: A pandas-based Framework for Analyzing GADGET Simulation Data


galmask: A Python package for unsupervised galaxy masking


galstreams: A Library of Milky Way Stellar Stream Footprints and Tracks


gambit -- An Open Source Name Disambiguation Tool for Version Control Systems


gamma-sky.net: Portal to the Gamma-Ray Sky


gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments


gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments


gazel: Supporting Source Code Edits in Eye-Tracking Studies


gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms


gec-metrics: A Unified Library for Grammatical Error Correction Evaluation


gen2Out: Detecting and Ranking Generalized Anomalies


genomepy: genes and genomes at your fingertips


ggRandomForests: Visually Exploring a Random Forest for Regression


gghic: A Versatile R Package for Exploring and Visualizing 3D Genome Organization


ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization


giMLPs: Gate with Inhibition Mechanism in MLPs


giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration


glass: ordered set data structure for client-side order books


glmmPen: High Dimensional Penalized Generalized Linear Mixed Models


gnlse-python: Open Source Software to Simulate Nonlinear Light Propagation In Optical Fibers


gnss_lib_py: Analyzing GNSS Data with Python


gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs


gpuRIR: A python library for Room Impulse Response simulation with GPU acceleration


gradSLAM: Automagically differentiable SLAM


grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads


gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions


gvnn: Neural Network Library for Geometric Computer Vision


gzip Predicts Data-dependent Scaling Laws


h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform


h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective


h-detach: Modifying the LSTM Gradient Towards Better Optimization


hMAC: Enabling Hybrid TDMA/CSMA on IEEE 802.11 Hardware


hXDP: Efficient Software Packet Processing on FPGA NICs


hankl: A lightweight Python implementation of the FFTLog algorithm for Cosmology


hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data


hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology


hermiter: R package for Sequential Nonparametric Estimation


hf0: A hybrid pitch extraction method for multimodal voice


highway2vec -- representing OpenStreetMap microregions with respect to their road network characteristics


hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images


hm-toolbox: Matlab software for HODLR and HSS matrices


hmBERT: Historical Multilingual Language Models for Named Entity Recognition


hmmTMB: hidden Markov models with flexible covariate effects in R


homotopy.io: a proof assistant for finitely-presented globular $n$-categories


hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems


hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras


hyper.deal: An efficient, matrix-free finite-element library for high-dimensional partial differential equations


i-Align: an interpretable knowledge graph alignment model


i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search


i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression


i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems


i-SPin: An integrator for multicomponent Schrödinger-Poisson systems with self-interactions


i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery


i13DR: A Real-Time Demand Response Infrastructure for Integrating Renewable Energy Resources


i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments


i3DMM: Deep Implicit 3D Morphable Model of Human Heads


iA$^*$: Imperative Learning-based A$^*$ Search for Path Planning


iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples


iART: A Search Engine for Art-Historical Images to Support Research in the Humanities


iAgent: LLM Agent as a Shield between User and Recommender Systems


iBOT: Image BERT Pre-Training with Online Tokenizer


iBRF: Improved Balanced Random Forest Classifier


iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations


iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide Identification


iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer


iCPS-DL: A Description Language for Autonomic Industrial Cyber-Physical Systems


iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices


iCaps: Iterative Category-level Object Pose and Shape Estimation


iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer


iCompare: A Package for Automated Comparison of Solar System Integrators


iControl3D: An Interactive System for Controllable 3D Scene Generation


iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework


iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients


iDAT: inverse Distillation Adapter-Tuning


iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023


iDisc: Internal Discretization for Monocular Depth Estimation


iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models


iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition


iFS-RCNN: An Incremental Few-shot Instance Segmenter


iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration


iFlipper: Label Flipping for Individual Fairness


iFormer: Integrating ConvNet and Transformer for Mobile Application


iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views


iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification


iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments


iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud


iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation


iHixs 2 - Inclusive Higgs Cross Sections


iHuman: Instant Animatable Digital Humans From Monocular Videos


iKUN: Speak to Trackers without Retraining


iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models


iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer


iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping


iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning


iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. -- III. Stellar metallicity drivers in MaNGA and TNG50


iMatching: Imperative Correspondence Learning


iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis


iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer


iMoT: Inertial Motion Transformer for Inertial Navigation


iNLTK: Natural Language Toolkit for Indic Languages


iNNformant: Boundary Samples as Telltale Watermarks


iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species


iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning


iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios


iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning


iPLAN: Interactive and Procedural Layout Planning


iPUNet:Iterative Cross Field Guided Point Cloud Upsampling


iPad: Iterative Proposal-centric End-to-End Autonomous Driving


iParaphrasing: Extracting Visually Grounded Paraphrases via an Image


iQPP: A Benchmark for Image Query Performance Prediction


iQuantum: A Case for Modeling and Simulation of Quantum Computing Environments


iQuery: Instruments as Queries for Audio-Visual Sound Separation


iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers


iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search


iRonCub 3: The Jet-Powered Flying Humanoid Robot


iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images


iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models


iSDF: Real-Time Neural Signed Distance Fields for Robot Perception


iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models


iSEGAN: Improved Speech Enhancement Generative Adversarial Networks


iSLAT: the Interactive Spectral-Line Analysis Tool for JWST and beyond


iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries


iSeg: An Iterative Refinement-based Framework for Training-free Segmentation


iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations


iSplit LBI: Individualized Partial Ranking with Ties via Split LBI


iTAML: An Incremental Task-Agnostic Meta-learning Approach


iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits


iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectories and Road Environment Data


iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models


iTrash: Incentivized Token Rewards for Automated Sorting and Handling


iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling


iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs


iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting


iVideoGPT: Interactive VideoGPTs are Scalable World Models


iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network


icet - A Python library for constructing and sampling alloy cluster expansions


icon: Fast Simulation of Epidemics on Coevolving Networks


ideal.II: a Galerkin Space-Time Extension to the Finite Element Library deal.II


idtracker.ai: Tracking all individuals in large collectives of unmarked animals


iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency


imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose


in2IN: Leveraging individual Information to Generate Human INteractions


inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition


inMOTIFin: a lightweight end-to-end simulation software for regulatory sequences


inbaverSim: An OMNeT++ Model Framework for Content Centric Networking


incompressibleFoam: a new time consistent framework with BDF and DIRK integration schemes


indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages


infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information


infomeasure: A Comprehensive Python Package for Information Theory Measures and Estimators


inkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE


inlabru: software for fitting latent Gaussian models with non-linear predictors


interface_master: Python package building CSL and approximate CSL interfaces of any two lattices -- an effective tool for interface engineers


invrs-gym: a toolkit for nanophotonic inverse design research


ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs


ir_explain: a Python Library of Explainable IR Methods


ira_laser_tools: a ROS LaserScan manipulation toolbox


itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection


itdr: An R package of Integral Transformation Methods to Estimate the SDR Subspaces in Regression


ivadomed: A Medical Imaging Deep Learning Toolbox


ixpeobssim: a Simulation and Analysis Framework for the Imaging X-ray Polarimetry Explorer


j-Wave: An open-source differentiable wave simulator


jLDADMM: A Java package for the LDA and DMM topic models


jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics


jTrans: Jump-Aware Transformer for Binary Code Similarity


jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration


jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research


jetsimpy: A Highly Efficient Hydrodynamic Code for Gamma-ray Burst Afterglow


jscefr: A Framework to Evaluate the Code Proficiency for JavaScript


juSFEM: A Julia-based Open-source Package of Parallel Smoothed Finite Element Method (S-FEM) for Elastic Problems


k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis


k-Center Clustering with Outliers in Sliding Windows


k-HyperEdge Medoids for Clustering Ensemble


k-MS: A novel clustering algorithm based on morphological reconstruction


k-Means Aperture Optimization Applied to Kepler K2 Time Series Photometry of Titan


k-Mixup Regularization for Deep Learning via Optimal Transport


k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)


k-Winners-Take-All Ensemble Neural Network


k-strip: A novel segmentation algorithm in k-space for the application of skull stripping


kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search


kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos


kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning


kMap.py: A Python program for simulation and data analysis in photoemission tomography


kNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels


kNN-Prompt: Nearest Neighbor Zero-Shot Inference


kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration


kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization


kTrans: Knowledge-Aware Transformer for Binary Code Embedding


kafe2 -- a Modern Tool for Model Fitting in Physics Lab Courses


kalis: A Modern Implementation of the Li & Stephens Model for Local Ancestry Inference in R


keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection


kendallknight: An R Package for Efficient Implementation of Kendall's Correlation Coefficient Computation


kmclib: Automated Inference and Verification of Session Types


knn-seq: Efficient, Extensible kNN-MT Framework


knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library


kollagen: A Collaborative SLAM Pose Graph Generator


kramersmoyal: Kramers--Moyal coefficients for stochastic processes


ktrain: A Low-Code Library for Augmented Machine Learning


kuibit: Analyzing Einstein Toolkit simulations with Python


l-dyno: framework to learn consistent visual features using robot's motion


labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds


latrend: A Framework for Clustering Longitudinal Data


lcpy: an open-source python package for parametric and dynamic Life Cycle Assessment and Life Cycle Costing


lenstronomy II: A gravitational lensing software ecosystem


lfda: An R Package for Local Fisher Discriminant Analysis and Visualization


libMBD: A general-purpose package for scalable quantum many-body dispersion calculations


libcll: an Extendable Python Toolkit for Complementary-Label Learning


libconform v0.1.0: a Python library for conformal prediction


libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications


lifex: a flexible, high performance library for the numerical solution of complex finite element problems


linemake: An Atomic and Molecular Line List Generator


lintsampler: Easy random sampling via linear interpolation


llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology


lmgame-Bench: How Good are LLMs at Playing Games?


log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling


logLTN: Differentiable Fuzzy Logic in the Logarithm Space


logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness to Pay Space Utility Parameterizations


lpdensity: Local Polynomial Density Estimation and Inference


m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks


m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers


m4: A Learned Flow-level Network Simulator


mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging


mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals


mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection


mDPO: Conditional Preference Optimization for Multimodal Large Language Models


mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection


mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation


mEdIT: Multilingual Text Editing via Instruction Tuning


mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks


mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion


mHuBERT-147: A Compact Multilingual HuBERT Model


mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation


mOKB6: A Multilingual Open Knowledge Base Completion Benchmark


mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?


mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models


mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration


mRNA Folding Algorithms for Structure and Codon Optimization


mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design


mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding


mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale


mTim: Rapid and accurate transcript reconstruction from RNA-Seq data


maars: Tidy Inference under the 'Models as Approximations' Framework in R


macOSWorld: A Multilingual Interactive Benchmark for GUI Agents


manvr3d: A Platform for Human-in-the-loop Cell Tracking in Virtual Reality


marl-jax: Multi-Agent Reinforcement Leaning Framework


martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture


mask-Net: Learning Context Aware Invariant Features using Adversarial Forgetting (Student Abstract)


maskSLIC: Regional Superpixel Generation with Application to Local Pathology Characterisation in Medical Images


matLeap: A fast adaptive Matlab-ready tau-leaping implementation suitable for Bayesian inference


matvis: A matrix-based visibility simulator for fast forward modelling of many-element 21 cm arrays


maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs


mc-BEiT: Multi-choice Discretization for Image BERT Pre-training


mc-mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo


mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics


mdTLS: How to make middlebox-aware TLS more efficient?


mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra


mechanoChemML: A software library for machine learning in computational materials physics


medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs


medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space


meds_reader: A fast and efficient EHR processing library


megaman: Manifold Learning with Millions of points


metamedian: An R package for meta-analyzing studies reporting medians


miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings


microPhantom: Playing microRTS under uncertainty and chaos


midr: Learning from Black-Box Models by Maximum Interpretation Decomposition


mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques


milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing


miniCTX: Neural Theorem Proving with (Long-)Contexts


miniKanren as a Tool for Symbolic Computation in Python


miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework


minimal-lagrangians: Generating and studying dark matter model Lagrangians with just the particle content


mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks


mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup


mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms


mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms


mlf-core: a framework for deterministic machine learning


mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R


mlr3summary: Concise and interpretable summaries for machine learning models


mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving


mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data


mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder


mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs


mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality


mmodel: A workflow framework to accelerate the development of experimental simulations


mobilityDCAT-AP: a Metadata Specification for Enhanced Cross-border Mobility Data Sharing


mochi_class: Modelling Optimisation to Compute Horndeski In class


modOpt: A modular development environment and library for optimization algorithms


moonboot: An R Package Implementing m-out-of-n Bootstrap Methods


mrCAD: Multimodal Refinement of Computer-aided Designs


msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML


mt5se: An Open Source Framework for Building Autonomous Trading Robots


muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults


mudirac: a Dirac equation solver for elemental analysis with muonic X-rays


mulEEG: A Multi-View Representation Learning on EEG Signals


multi-patch aggregation models for resampling detection


multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information


mumax+: extensible GPU-accelerated micromagnetics and beyond


mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection


mvlearnR and Shiny App for multiview learning


mwBTFreddy: A Dataset for Flash Flood Damage Assessment in Urban Malawi


myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization


n-Step Temporal Difference Learning with Optimal n


n-stage Latent Dirichlet Allocation: A Novel Approach for LDA


nEMO: Dataset of Emotional Speech in Polish


nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces


nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series


nach0: Multimodal Natural and Chemical Languages Foundation Model


nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems


nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales


nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources


nanopub-java: A Java Library for Nanopublications


naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python


navlie: A Python Package for State Estimation on Lie Groups


nazgul: A statistical approach to gamma-ray burst localization. Triangulation via non-stationary time-series models


negativas: a prototype for searching and classifying sentential negation in speech data


netFound: Foundation Model for Network Security


neuro2voc: Decoding Vocalizations from Neural Activity


newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification


nhppp: Simulating Nonhomogeneous Poisson Point Processes in R


nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States


nifty-ls: Fast and Accurate Lomb-Scargle Periodograms Using a Non-Uniform FFT


nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models


niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text


nimCSO: A Nim package for Compositional Space Optimization


ninfty: A software package for homotopical combinatorics


nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks


nnDetection for Intracranial Aneurysms Detection and Localization


nnFormer: Interleaved Transformer for Volumetric Segmentation


nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model


nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance


node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching


not-MIWAE: Deep Generative Modelling with Missing not at Random Data


nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference


nsroot: Minimalist Process Isolation Tool Implemented With Linux Namespaces


ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads


ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN


nuSQuIDS: A toolbox for neutrino propagation


nuance: Efficient detection of planets transiting active stars


nuts-flow/ml: data pre-processing for deep learning


nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow


nvTorchCam: An Open-source Library for Camera-Agnostic Differentiable Geometric Vision


o3-mini vs DeepSeek-R1: Which One is Safer?


obscura: A modular C++ tool and library for the direct detection of (sub-GeV) dark matter via nuclear and electron recoils


odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks


olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models


opML: Optimistic Machine Learning on Blockchain


open5Gcube: A Modular and Usable Framework for Mobile Network Laboratories


openCoT: The opensource Cloud of Things platform


openWAR: An Open Source System for Evaluating Overall Player Performance in Major League Baseball


openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit


openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion


optimalFlow: Optimal-transport approach to flow cytometry gating and population matching


ordpy: A Python package for data analysis with permutation entropy and ordinal network methods


p$^3$VAE: a physics-integrated generative model. Application to the pixel-wise classification of airborne hyperspectral images


p$^\dagger$q: A tool for prototyping many-body methods for quantum chemistry


p-Adic sigma functions and heights on Jacobians of genus 2 curves


p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay


p-winds: an open-source Python code to model planetary outflows and upper atmospheres


p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks


p2smi: A Python Toolkit for Peptide FASTA-to-SMILES Conversion and Molecular Property Analysis


pAElla: Edge-AI based Real-Time Malware Detection in Data Centers


pAGN: the one-stop solution for AGN disc modeling


pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation


pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models


pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2


pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables


pLitterStreet: Street Level Plastic Litter Detection and Mapping


pMPL: A Robust Multi-Party Learning Framework with a Privileged Party


pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning


pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules


pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation


packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space


pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference


panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R


papaya2: 2D Irreducible Minkowski Tensor computation


parasweep: A template-based utility for generating, dispatching, and post-processing of parameter sweeps


pared: Model selection using multi-objective optimization


partycls: A Python package for structural clustering


pdbmine: A Node.js API for the RCSB Protein Data Bank (PDB)


penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers


perf4sight: A toolflow to model CNN training performance on Edge GPUs


pexm: a JAGS module for applications involving the piecewise exponential distribution


pfd-parallel, a Singular/GPI-Space package for massively parallel multivariate partial fractioning


pgMAP: a pipeline to enable guide RNA read mapping from dual-targeting CRISPR screens


pgm: A Python package for free energy calculations within the phonon gas model


pgmpy: A Python Toolkit for Bayesian Networks


phaser: An all-in-one package for (multislice) electron ptychography


phi-FEM for the heat equation: optimal convergence on unfitted meshes in space


pix2gestalt: Amodal Segmentation by Synthesizing Wholes


pix2rule: End-to-end Neuro-symbolic Rule Learning


pixelNeRF: Neural Radiance Fields from One or Few Images


pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction


plingo: A system for probabilistic reasoning in clingo based on lpmln


plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure


pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results


pomdp_py: A Framework to Build and Solve POMDP Problems


popclass: a python package for classifying microlensing events


pose-format: Library for Viewing, Augmenting, and Handling .pose Files


posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms


powerROC: An Interactive Web Tool for Sample Size Calculation in Assessing Models' Discriminative Abilities


ppOpen-AT: A Directive-base Auto-tuning Language


prDeep: Robust Phase Retrieval with a Flexible Deep Network


pracpac: Practical R Packaging with Docker


privGAN: Protecting GANs from membership inference attacks at low cost


proEQUIB: IDL Library for Plasma Diagnostics and Abundance Analysis


problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches


projUNN: efficient method for training deep networks with unitary matrices


ptype-cat: Inferring the Type and Values of Categorical Variables


putEMG -- a surface electromyography hand gesture recognition dataset


pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing


py-irt: A Scalable Item Response Theory Library for Python


pyABC: Efficient and robust easy-to-use approximate Bayesian computation


pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models


pyBioSig: optimizing group discrimination using genetic algorithms for biosignature discovery


pyBregMan: A Python library for Bregman Manifolds


pyBumpHunter: A model independent bump hunting tool in Python for High Energy Physics analyses


pyCANON: A Python library to check the level of anonymity of a dataset


pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac Electrophysiology


pyCFS-data: Data Processing Framework in Python for openCFS


pyCOFBuilder: A python package for automated creation of Covalent Organic Framework models based on the reticular approach


pyEQUIB Python Package, an addendum to proEQUIB: IDL Library for Plasma Diagnostics and Abundance Analysis


pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration


pyKCN: A Python Tool for Bridging Scientific Knowledge


pyMBE: the Python-based Molecule Builder for ESPResSo


pyMEAL: A Multi-Encoder Augmentation-Aware Learning for Robust and Generalizable Medical Image Translation


pyMOR - Generic Algorithms and Interfaces for Model Order Reduction


pyMSER -- An open-source library for automatic equilibration detection in molecular simulations


pyPESTO: A modular and scalable tool for parameter estimation for dynamic models


pyRecLab: A Software Library for Quick Prototyping of Recommender Systems


pyRheo: An open-source Python package for complex rheology


pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM


pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data


pyStoNED: A Python Package for Convex Regression and Frontier Estimation


pyTDGL: Time-dependent Ginzburg-Landau in Python


pyTTN: An Open Source Toolbox for Open and Closed System Quantum Dynamics Simulations Using Tree Tensor Networks


pyUPMASK: an improved unsupervised clustering algorithm


pyWATTS: Python Workflow Automation Tool for Time Series


pycvxset: A Python package for convex set manipulation


pylevin: efficient numerical integration of integrals containing up to three Bessel functions


pymdp: A Python library for active inference in discrete state spaces


pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis


pynucastro: A Python Library for Nuclear Astrophysics


pyro: a framework for hydrodynamics explorations and prototyping


pyscreener: A Python Wrapper for Computational Docking Software


pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks


pysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax


pyssam -- a Python library for statistical modelling of biomedical shape and appearance


pystacked: Stacking generalization and machine learning in Stata


pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms


pytest-inline: An Inline Testing Tool for Python


pythOS: A Python library for solving IVPs by operator splitting


pytopicgram: A library for data extraction and topic modeling from Telegram channels


q-Overlaps in the Random Exact Cover Problem


q-Paths: Generalizing the Geometric Annealing Path using Power Means


q-RBFNN:A Quantum Calculus-based RBF Neural Network


q-Space Novelty Detection with Variational Autoencoders


q-State Potts model metastability study using optimized GPU-based Monte Carlo algorithms


q-exponential family for policy optimization


qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization


qNoise: A generator of non-Gaussian colored noise


qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling


qTorch: The Quantum Tensor Contraction Handler


qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers


qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation


qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package


r-softmax: Generalized Softmax with Controllable Sparsity Rate


rCOSA: A Software Package for Clustering Objects on Subsets of Attributes


rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models


rFaaS: Enabling High Performance Serverless with RDMA and Leases


rKAN: Rational Kolmogorov-Arnold Networks


rMultiNet: An R Package For Multilayer Networks Analysis


rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement


rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm


rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer


raceBERT -- A Transformer-based Model for Predicting Race and Ethnicity from Names


randextract: a Reference Library to Test and Validate Privacy Amplification Implementations


rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data


rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method


re:Linde et al. (2021): The Bayes factor, HDI-ROPE and frequentist equivalence tests can all be reverse engineered -- almost exactly -- from one another


reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning


reXcor: A Model of the X-ray Spectrum of Active Galactic Nuclei that Combines Ionized Reflection and a Warm Corona


recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms


regulAS: A Bioinformatics Tool for the Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data


relentless: Transparent, reproducible molecular dynamics simulations for optimization


repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments


require: Package dependencies for reproducible research


rerankers: A Lightweight Python Library to Unify Ranking Methods


reslr: An R package for relative sea level modelling


reval: a Python package to determine best clustering solutions with stability-based relative clustering validation


ricu: R's Interface to Intensive Care Data


ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis


rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks


rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms


robROSE: A robust approach for dealing with imbalanced data in fraud detection


ros2 fanuc interface: Design and Evaluation of a Fanuc CRX Hardware Interface in ROS2


rrlfe: Software for Generating and Applying Metallicity Calibrations for RR Lyrae Variable Stars Across a Wide Range of Phases and Temperatures


rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA


s-ID: Causal Effect Identification in a Sub-Population


s-LWSR: Super Lightweight Super-Resolution Network


s3: You Don't Need That Much Data to Train a Search Agent via RL


sCOLA: The N-body COLA Method Extended to the Spatial Domain


sEMG-Based Joint Angle Estimation via Hierarchical Spiking Attentional Feature Decomposition Network


sHGCN: Simplified hyperbolic graph convolutional neural networks


sJIVE: Supervised Joint and Individual Variation Explained


sPEGG: high throughput eco-evolutionary simulations on commodity graphics processors


sQUlearn -- A Python Library for Quantum Machine Learning


salmon: A Symbolic Linear Regression Package for Python


saprEMo: a simplified algorithm for predicting detections of electromagnetic transients in surveys


satsuma: Structure-based Symmetry Breaking in SAT


sbi reloaded: a toolkit for simulation-based inference workflows


scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data


scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis


scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding


scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics


scDiffusion: conditional generation of high-quality single-cell data using diffusion model


scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction


scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling


scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling


scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning


scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data


scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data


scX: A user-friendly tool for scRNA-seq exploration


scatteR: Generating instance space based on scagnostics


scenery -- Flexible Virtual Reality Visualisation on the Java VM


scenoRITA: Generating Less-Redundant, Safety-Critical and Motion Sickness-Inducing Scenarios for Autonomous Vehicles


scida: scalable analysis for scientific big data


scikit-dyn2sel -- A Dynamic Selection Framework for Data Streams


scikit-fda: A Python Package for Functional Data Analysis