mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 15 Jun 2023

307 papers

  1. Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
  2. Taming Diffusion Models for Music-driven Conducting Motion GenerationDiffusion models → Audio, speech and music
  3. Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  4. Residual Q-Learning: Offline and Online Policy Customization without ValueOffline RL and imitation learning from data → Imitation learning methods
  5. R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion predictionDiffusion models → Video generation
  6. Recurrent Action Transformer with MemoryOffline RL and imitation learning from data → Decision transformers and sequence modeling
  7. Explore, Establish, Exploit: Red Teaming Language Models from ScratchLLM safety and security → Prompt injection and agent security
  8. Generative Proxemics: A Prior for 3D Social Interaction from ImagesDiffusion models → Video generation
  9. ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  10. Diffusion Models for Open-Vocabulary SegmentationDiffusion models → Medical imaging and segmentation
  11. Fast Training of Diffusion Models with Masked TransformersDiffusion models → Diffusion foundations and sampling
  12. Datasets and Benchmarks for Offline Safe Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
  13. Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via PersonalizationLLM agents and tool use → Educational agents and math problem solving
  14. LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  15. Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative ModelsDiffusion models → Diffusion foundations and sampling
  16. Text Promptable Surgical Instrument Segmentation with Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  17. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportLLM reasoning → Reasoning for agents, planning and code
  18. Encyclopedic VQA: Visual questions about detailed properties of fine-grained categoriesRetrieval-augmented generation → Multimodal RAG
  19. A Framework for Learning from Demonstration with Minimal Human EffortOffline RL and imitation learning from data → Robot learning from demonstration
  20. Reward-Free Curricula for Training Robust World ModelsWorld models → Latent dynamics models and model-based RL
  21. Neural World Models for Computer VisionWorld models → World models for autonomous driving
  22. DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksDiffusion models → Robustness, privacy and adversarial aspects
  23. Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text IntegrationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  24. Relation-Aware Diffusion Model for Controllable Poster Layout GenerationDiffusion models → Image generation, text-to-image and editing
  25. COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  26. Behavioral Cloning via Search in Embedded Demonstration DatasetOffline RL and imitation learning from data → Imitation learning methods
  27. Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous drivingEnd-to-end autonomous driving → Reinforcement learning for driving
  28. A Graphical Formalism for Commonsense Reasoning with RecipesLLM reasoning → Reasoning benchmarks and evaluation
  29. DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  30. Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
  31. Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationDiffusion models → Inverse problems and image restoration
  32. Self-Knowledge Distillation for Surgical Phase RecognitionKnowledge distillation → Distillation for medical imaging
  33. Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  34. RecFusion: A Binomial Diffusion Process for 1D Data for RecommendationDiffusion models → Diffusion recommenders
  35. Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  36. Offline Multi-Agent Reinforcement Learning with Coupled Value FactorizationOffline RL and imitation learning from data → Offline multi-agent RL
  37. LOVM: Language-Only Vision Model SelectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  38. Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map AlignmentDiffusion models → Image generation, text-to-image and editing
  39. One-Shot Learning of Visual Path Navigation for Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
  40. OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  41. Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt InjectionLLM safety and security → Prompt injection and agent security
  42. Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  43. Deformation Monitoring of Tunnel using Phase-based Motion Magnification and Optical Flow
  44. Multi-modal Hate Speech Detection using Machine Learning
  45. FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System
  46. PRISMA-DFLLM: An Extension of PRISMA for Systematic Literature Reviews using Domain-specific Finetuned Large Language Models
  47. OVLA: Neural Network Ownership Verification using Latent Watermarks
  48. MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals
  49. BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning
  50. MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting
  51. Modeling T1 Resting-State MRI Variants Using Convolutional Neural Networks in Diagnosis of OCD
  52. Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
  53. Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models
  54. Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
  55. Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
  56. The pop song generator: designing an online course to teach collaborative, creative AI
  57. Artificial Intelligence for Emergency Response
  58. Domain-specific ChatBots for Science using Embeddings
  59. On the Interplay of Subset Selection and Informed Graph Neural Networks
  60. Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
  61. Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
  62. QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
  63. Online Heavy-tailed Change-point detection
  64. Training generative models from privatized data
  65. Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment
  66. Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
  67. Block-State Transformers
  68. Graph Extraction for Assisting Crash Simulation Data Analysis
  69. QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
  70. Leveraging Human Salience to Improve Calorie Estimation
  71. Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
  72. Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
  73. Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
  74. Granger Causal Interaction Skill Chains
  75. Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
  76. A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults
  77. Attention-based Open RAN Slice Management using Deep Reinforcement Learning
  78. The 2023 Video Similarity Dataset and Challenge
  79. FedMultimodal: A Benchmark For Multimodal Federated Learning
  80. Sample-Efficient Learning of Novel Visual Concepts
  81. Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
  82. Inverse Scaling: When Bigger Isn't Better
  83. Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks
  84. Improving Path Planning Performance through Multimodal Generative Models with Local Critics
  85. FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
  86. AQuA: A Benchmarking Tool for Label Quality Assessment
  87. Simplified Temporal Consistency Reinforcement Learning
  88. Kriging Convolutional Networks
  89. Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
  90. Hierarchical confusion matrix for classification performance evaluation
  91. A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems
  92. Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier
  93. Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data
  94. Utility Theory based Cognitive Modeling in the Application of Robotics: A Survey
  95. Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens
  96. Unsupervised Anomaly Detection via Nonlinear Manifold Learning
  97. Towards Practical Federated Causal Structure Learning
  98. Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluation
  99. Arbitrariness Lies Beyond the Fairness-Accuracy Frontier
  100. SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
All 307
  1. A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
  2. Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
  3. Non-Asymptotic Performance of Social Machine Learning Under Limited Data
  4. Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
  5. Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
  6. ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations
  7. ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
  8. Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
  9. Employing Multimodal Machine Learning for Stress Detection
  10. MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones
  11. Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
  12. Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
  13. Understanding Parameter Sharing in Transformers
  14. 1st Solution Places for CVPR 2023 UG2+ Challenge Track 2.2-Coded Target Restoration through Atmospheric Turbulence
  15. Evaluating alignment between humans and neural network representations in image-based learning tasks
  16. Modularizing while Training: A New Paradigm for Modularizing DNN Models
  17. Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
  18. From Database Repairs to Causality in Databases and Beyond
  19. Equitable Multi-task Learning
  20. UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
  21. Seeing the World through Your Eyes
  22. Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
  23. Rosetta Neurons: Mining the Common Units in a Model Zoo
  24. Evaluating Data Attribution for Text-to-Image Models
  25. DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
  26. SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
  27. PaReprop: Fast Parallelized Reversible Backpropagation
  28. Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
  29. Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking
  30. Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant
  31. Class-Conditional Conformal Prediction with Many Classes
  32. Personalized Image Enhancement Featuring Masked Style Modeling
  33. Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions
  34. Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
  35. DreamHuman: Animatable 3D Avatars from Text
  36. WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
  37. Language-Guided Music Recommendation for Video via Prompt Analogies
  38. Single-Stage Visual Query Localization in Egocentric Videos
  39. Fast Image-based Neural Relighting with Translucency-Reflection Modeling
  40. Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter
  41. Learnable Weight Initialization for Volumetric Medical Image Segmentation
  42. Inroads into Autonomous Network Defence using Explained Reinforcement Learning
  43. Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction
  44. Semantic HELM: A Human-Readable Memory for Reinforcement Learning
  45. Infinite Photorealistic Worlds using Procedural Generation
  46. Who Needs to Know? Minimal Knowledge for Optimal Coordination
  47. Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
  48. Quality and Efficiency of Manual Annotation: Pre-annotation Bias
  49. Propagating Knowledge Updates to LMs Through Distillation
  50. Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
  51. Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  52. OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
  53. Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
  54. KoLA: Carefully Benchmarking World Knowledge of Large Language Models
  55. Neural Fine-Tuning Search for Few-Shot Learning
  56. [Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons
  57. Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning
  58. DaMuEL: A Large Multilingual Dataset for Entity Linking
  59. Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
  60. Robustness Analysis on Foundational Segmentation Models
  61. Conditional Human Sketch Synthesis with Explicit Abstraction Control
  62. Privacy Risks in Reinforcement Learning for Household Robots
  63. Zero-Shot Anomaly Detection with Pre-trained Segmentation Models
  64. Are ChatGPT and Other Similar Systems the Modern Lernaean Hydras of AI?
  65. A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception
  66. Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
  67. A Heavy-Tailed Algebra for Probabilistic Programming
  68. Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model
  69. A Survey of Some Density Based Clustering Techniques
  70. MinMax Networks
  71. Exploiting the Brain's Network Structure for Automatic Identification of ADHD Subjects
  72. Few-shot bioacoustic event detection at the DCASE 2023 challenge
  73. Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
  74. CMMLU: Measuring massive multitask language understanding in Chinese
  75. Optimal Exploration for Model-Based RL in Nonlinear Systems
  76. Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions
  77. A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
  78. ChessGPT: Bridging Policy Learning and Language Modeling
  79. Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset
  80. DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
  81. High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
  82. Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
  83. Action Sensitivity Learning for the Ego4D Episodic Memory Challenge 2023
  84. How are the people in the photos judged? Analysis of brain activity when assessing levels of trust and attractiveness
  85. Can ChatGPT pass the Vietnamese National High School Graduation Examination?
  86. Opportunities for Large Language Models and Discourse in Engineering Design
  87. DEYOv2: Rank Feature with Greedy Matching for End-to-End Object Detection
  88. Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
  89. Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
  90. On the k-Hamming and k-Edit Distances
  91. Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases
  92. Finite-Time Logarithmic Bayes Regret Upper Bounds
  93. Enlarged Large Margin Loss for Imbalanced Classification
  94. Deep Learning for Energy Time-Series Analysis and Forecasting
  95. Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues
  96. STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
  97. The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
  98. Hyperbolic Representation Learning: Revisiting and Advancing
  99. UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering
  100. Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning
  101. Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding
  102. On Certified Generalization in Structured Prediction
  103. Enhanced Sampling with Machine Learning: A Review
  104. NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
  105. KUCST at CheckThat 2023: How good can we be with a generic model?
  106. Environmental Sound Classification on An Embedded Hardware Platform
  107. Performance Evaluation and Comparison of a New Regression Algorithm
  108. On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
  109. Unbalanced Diffusion Schr"odinger Bridge
  110. Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
  111. Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach
  112. Analogue and Physical Reservoir Computing Using Water Waves
  113. Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
  114. Web of Things and Trends in Agriculture: A Systematic Literature Review
  115. E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras
  116. Estimating Generic 3D Room Structures from 2D Annotations
  117. 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
  118. A Bayesian approach to uncertainty in word embedding bias estimation
  119. Learning by Analogy: Diverse Questions Generation in Math Word Problem
  120. Mapping Researcher Activity based on Publication Data by means of Transformers
  121. Optimal Best-Arm Identification in Bandits with Access to Offline Data
  122. Hands-on detection for steering wheels with neural networks
  123. Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing
  124. Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
  125. CoverHunter: Cover Song Identification with Refined Attention and Alignments
  126. Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
  127. CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
  128. DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
  129. Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal
  130. Modularity Trumps Invariance for Compositional Robustness
  131. ExoMDN: Rapid characterization of exoplanet interior structures with Mixture Density Networks
  132. SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
  133. When and Why Momentum Accelerates SGD:An Empirical Study
  134. Voting Booklet Bias: Stance Detection in Swiss Federal Communication
  135. Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023
  136. Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models
  137. Emotional Speech-Driven Animation with Content-Emotion Disentanglement
  138. Tree Variational Autoencoders
  139. Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
  140. An Efficient and Multi-private Key Secure Aggregation for Federated Learning
  141. Partial-Label Regression
  142. Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
  143. Training Multimedia Event Extraction With Generated Images and Captions
  144. 1st Solution Places for CVPR 2023 UG2+ Challenge Track 2.1-Text Recognition through Atmospheric Turbulence
  145. Neural Network Compression using Binarization and Few Full-Precision Weights
  146. Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation
  147. Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
  148. A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images
  149. An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
  150. Rethinking Document-Level Relation Extraction: A Reality Check
  151. MLonMCU: TinyML Benchmarking with Fast Retargeting
  152. Bootstrap aggregation and confidence measures to improve time series causal discovery
  153. Neural Fields with Hard Constraints of Arbitrary Differential Order
  154. Active Representation Learning for General Task Space with Applications in Robotics
  155. Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
  156. Revisiting Stereo Triangulation in UAV Distance Estimation
  157. Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
  158. DocumentNet: Bridging the Data Gap in Document Pre-Training
  159. Context-Aware Change Detection With Semi-Supervised Learning
  160. Towards Interpretability in Audio and Visual Affective Machine Learning: A Review
  161. Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
  162. Opinion Tree Parsing for Aspect-based Sentiment Analysis
  163. Multi-Temporal Relationship Inference in Urban Areas
  164. Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation
  165. PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
  166. Counterfactuals Modulo Temporal Logics
  167. Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
  168. MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
  169. Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation
  170. Enhancing Neural Rendering Methods with Image Augmentations
  171. Multilingual End to End Entity Linking
  172. MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
  173. Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
  174. Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
  175. ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
  176. SplatFlow: Learning Multi-frame Optical Flow via Splatting
  177. Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
  178. Neural models for Factual Inconsistency Classification with Explanations
  179. Evolutionary Curriculum Training for DRL-Based Navigation Systems
  180. Hyperbolic Convolution via Kernel Point Aggregation
  181. Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
  182. SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition
  183. A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
  184. In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems
  185. BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection
  186. Datasheets for Machine Learning Sensors
  187. Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
  188. Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations
  189. Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method
  190. ViP: A Differentially Private Foundation Model for Computer Vision
  191. Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
  192. Differentially Private Domain Adaptation with Theoretical Guarantees
  193. Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
  194. ScrollTimes: Tracing the Provenance of Paintings as a Window into History
  195. Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection
  196. PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
  197. Pragmatic Inference with a CLIP Listener for Contrastive Captioning
  198. Description-Enhanced Label Embedding Contrastive Learning for Text Classification
  199. Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization
  200. A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications
  201. Deep Generative Models for Decision-Making and Control
  202. Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
  203. PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework
  204. Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
  205. MPSA-DenseNet: A novel deep learning model for English accent classification
  206. Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
  207. Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training