mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 9 Oct 2023

291 papers

  1. Memory-Consistent Neural Networks for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  2. CoQuest: Exploring Research Question Co-Creation with an LLM-based AgentLLM agents and tool use → Web, search, and research agents
  3. Latent Diffusion Model for DNA Sequence GenerationDiffusion models → Flow matching, time series and science
  4. Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and BeyondLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. Text-driven Prompt Generation for Vision-Language Models in Federated LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  6. Take a Step Back: Evoking Reasoning via Abstraction in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  7. Learning Interactive Real-World SimulatorsWorld models → Video-generation world models and simulators
  8. Knowledge Distillation for Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
  9. Rethinking Memory and Communication Cost for Efficient Large Language Model TrainingLLM reasoning → Test-time compute and efficient thinking
  10. FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editingDiffusion models → Video generation
  11. FireAct: Toward Language Agent Fine-tuningLLM agents and tool use → General LLM agent frameworks and benchmarks
  12. SALMON: Self-Alignment with Instructable Reward ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  13. TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
  14. DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  15. Implicit Concept Removal of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  16. ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language ModelsLLM reasoning → Multimodal reasoning
  17. Generative quantum machine learning via denoising diffusion probabilistic modelsDiffusion models → Diffusion foundations and sampling
  18. Fine-grained Audio-Visual Joint Representations for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  19. Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  20. GraphLLM: Boosting Graph Reasoning Ability of Large Language ModelLLM reasoning → Knowledge- and tool-augmented reasoning
  21. In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsLLM reasoning → Reasoning benchmarks and evaluation
  22. DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion ModelsDiffusion models → Discrete and text diffusion
  23. Aligning Language Models with Human Preferences via a Bayesian ApproachLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  24. Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction ArenaLLM reasoning → Reasoning for agents, planning and code +1
  25. Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationDiffusion models → Video generation
  26. Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  27. DecAP: Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion PoliciesOffline RL and imitation learning from data → Real-world robot offline RL
  28. Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable EnvironmentsOffline RL and imitation learning from data → Imitation learning methods
  29. Guiding Language Model Reasoning with Planning TokensLLM reasoning → Prompting and chain-of-thought reasoning
  30. Multi-timestep models for Model-based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  31. ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate SpeechRetrieval-augmented generation → Privacy and security of RAG
  32. Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performanceLLM reasoning → Reasoning benchmarks and evaluation
  33. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningLLM reasoning → Mathematical reasoning
  34. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionLLM reasoning → Reasoning benchmarks and evaluation
  35. Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content StructureLLM reasoning → Reasoning benchmarks and evaluation
  36. Empower Nested Boolean Logic via Self-Supervised Curriculum LearningLLM reasoning → Reasoning benchmarks and evaluation
  37. Establishing Trustworthiness: Rethinking Tasks and Model EvaluationLLM reasoning → Reasoning benchmarks and evaluation
  38. Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel DecodingEfficient LLM inference and serving → Speculative decoding
  39. Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  40. Humanoid Agents: Platform for Simulating Human-like Generative AgentsLLM agents and tool use → Social simulation and multi-agent debate
  41. Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question AnsweringLLM reasoning → Multimodal reasoning
  42. GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of EvidenceRetrieval-augmented generation → Generation and context integration
  43. IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image PromptsDiffusion models → 3D, point cloud and scene generation
  44. SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  45. Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  46. DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  47. Unlearning with Fisher MaskingLLM safety and security → Machine unlearning
  48. Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
  49. Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
  50. Are Large Language Models Geospatially Knowledgeable?
  51. Towards Emotion-Based Synthetic Consciousness: Using LLMs to Estimate Emotion Probability Vectors
  52. WinSyn: A High Resolution Testbed for Synthetic Data
  53. A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
  54. On sparse regression, Lp-regularization, and automated model discovery
  55. Fair Classifiers that Abstain without Harm
  56. Estimating Numbers without Regression
  57. GPT-who: An Information Density-based Machine-Generated Text Detector
  58. Compressing Context to Enhance Inference Efficiency of Large Language Models
  59. The Importance of Prompt Tuning for Automated Neuron Explanations
  60. DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
  61. PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
  62. Automatic Integration for Spatiotemporal Neural Point Processes
  63. Look-Up mAI GeMM: Increasing AI GeMMs Performance by Nearly 2.5x via msGeMM
  64. DockGame: Cooperative Games for Multimeric Rigid Protein Docking
  65. Factual and Personalized Recommendations using Language Models and Reinforcement Learning
  66. Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
  67. Predictable Artificial Intelligence
  68. CAW-coref: Conjunction-Aware Word-level Coreference Resolution
  69. Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
  70. Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization
  71. Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds
  72. Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
  73. HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
  74. On the Correlation between Random Variables and their Principal Components
  75. Layout Sequence Prediction From Noisy Mobile Modality
  76. Learning Layer-wise Equivariances Automatically using Gradients
  77. On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments
  78. Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks
  79. Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
  80. OptiMUS: Optimization Modeling Using MIP Solvers and large language models
  81. When is Agnostic Reinforcement Learning Statistically Tractable?
  82. Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
  83. BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions
  84. Grokking as the Transition from Lazy to Rich Training Dynamics
  85. QR-Tag: Angular Measurement and Tracking with a QR-Design Marker
  86. Developing and Refining a Multifunctional Facial Recognition System for Older Adults with Cognitive Impairments: A Journey Towards Enhanced Quality of Life
  87. Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
  88. Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding
  89. High Dimensional Causal Inference with Variational Backdoor Adjustment
  90. Predictive auxiliary objectives in deep RL mimic learning in the brain
  91. Transformers and Large Language Models for Chemistry and Drug Discovery
  92. Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
  93. Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images
  94. Performative Time-Series Forecasting
  95. Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction
  96. Optimal Exploration is no harder than Thompson Sampling
  97. Augmenting Vision-Based Human Pose Estimation with Rotation Matrix
  98. Auditing Gender Analyzers on Text Data
  99. Early Warning Prediction with Automatic Labeling in Epilepsy Patients
  100. LLM for SoC Security: A Paradigm Shift
All 291
  1. Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
  2. DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
  3. Divide-and-Conquer Dynamics in AI-Driven Disempowerment
  4. CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion
  5. LCOT: Linear circular optimal transport
  6. Cost-sensitive probabilistic predictions for support vector machines
  7. A novel Network Science Algorithm for Improving Triage of Patients
  8. Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
  9. SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation
  10. Few-Shot Spoken Language Understanding via Joint Speech-Text Models
  11. Grokking as Compression: A Nonlinear Complexity Perspective
  12. Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input
  13. Interpreting CLIP's Image Representation via Text-Based Decomposition
  14. NEFTune: Noisy Embeddings Improve Instruction Finetuning
  15. Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network
  16. Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
  17. A Generalization Bound of Deep Neural Networks for Dependent Data
  18. Streaming Anchor Loss: Augmenting Supervision with Temporal Significance
  19. A Meta-Learning Perspective on Transformers for Causal Language Modeling
  20. Controllable Chest X-Ray Report Generation from Longitudinal Representations
  21. Coarse-Graining Hamiltonian Systems Using WSINDy
  22. A Machine Learning Approach to Predicting Single Event Upsets
  23. AI Systems of Concern
  24. Dynamic value alignment through preference aggregation of multiple objectives
  25. HyperAttention: Long-context Attention in Near-Linear Time
  26. Bio-inspired computational memory model of the Hippocampus: an approach to a neuromorphic spike-based Content-Addressable Memory
  27. Domain-wise Invariant Learning for Panoptic Scene Graph Generation
  28. Distributional Soft Actor-Critic with Three Refinements
  29. Improving Summarization with Human Edits
  30. Robust Angular Synchronization via Directed Graph Neural Networks
  31. Predicting Accident Severity: An Analysis Of Factors Affecting Accident Severity Using Random Forest Model
  32. A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields
  33. A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
  34. USTEP: Spatio-Temporal Predictive Learning under A Unified View
  35. Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting
  36. Pre-trained Spatial Priors on Multichannel NMF for Music Source Separation
  37. SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese
  38. Provably Convergent Data-Driven Convex-Nonconvex Regularization
  39. Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
  40. Boosted Control Functions: Distribution generalization and invariance in confounded models
  41. Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
  42. An operator preconditioning perspective on training in physics-informed machine learning
  43. The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
  44. Problem-Solving Guide: Predicting the Algorithm Tags and Difficulty for Competitive Programming Problems
  45. Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification
  46. Joint object detection and re-identification for 3D obstacle multi-camera systems
  47. Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
  48. Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  49. Foundation Models Meet Visualizations: Challenges and Opportunities
  50. DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network
  51. Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design
  52. MonoVisual3DFilter: 3D tomatoes' localisation with monocular cameras using histogram filters
  53. Nonlinear Correct and Smooth for Semi-Supervised Learning
  54. Deep Concept Removal
  55. Unleashing the power of Neural Collapse for Transferability Estimation
  56. Large-Scale OD Matrix Estimation with A Deep Learning Method
  57. A Review of the Ethics of Artificial Intelligence and its Applications in the United States
  58. Estimating Shape Distances on Neural Representations with Limited Samples
  59. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
  60. The Program Testing Ability of Large Language Models for Code
  61. Post-hoc Bias Scoring Is Optimal For Fair Classification
  62. HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation
  63. Transformer Fusion with Optimal Transport
  64. EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
  65. STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines
  66. An Attribution Method for Siamese Encoders
  67. Uni3DETR: Unified 3D Detection Transformer
  68. Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images
  69. Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
  70. Hierarchical Reinforcement Learning for Temporal Pattern Prediction
  71. A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
  72. Based on What We Can Control Artificial Neural Networks
  73. Climate-sensitive Urban Planning through Optimization of Tree Placements
  74. Abstractive Summarization of Large Document Collections Using GPT
  75. Larth: Dataset and Machine Translation for Etruscan
  76. The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students
  77. Analysis of Rainfall Variability and Water Extent of Selected Hydropower Reservoir Using Google Earth Engine (GEE): A Case Study from Two Tropical Countries, Sri Lanka and Vietnam
  78. Automated Argument Generation from Legal Facts
  79. Making Scalable Meta Learning Practical
  80. Reinforcement learning for freeform robot design
  81. LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
  82. Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection
  83. ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain
  84. A Closer Look into Automatic Evaluation Using Large Language Models
  85. Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs
  86. No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling
  87. FENCE: Fairplay Ensuring Network Chain Entity for Real-Time Multiple ID Detection at Scale In Fantasy Sports
  88. Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction
  89. Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment
  90. Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision Transformers
  91. High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation
  92. Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
  93. Binary Classification with Confidence Difference
  94. Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models
  95. Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
  96. Locality-Aware Generalizable Implicit Neural Representation
  97. LAiW: A Chinese Legal Large Language Models Benchmark
  98. Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods
  99. ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition
  100. Adaptive Multi-head Contrastive Learning
  101. Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments
  102. On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
  103. InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
  104. Perceptual Artifacts Localization for Image Synthesis Tasks
  105. DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking
  106. ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
  107. A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers
  108. Aggregated f-average Neural Network applied to Few-Shot Class Incremental Learning
  109. STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models
  110. WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
  111. Regulation and NLP (RegNLP): Taming Large Language Models
  112. Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
  113. A New Transformation Approach for Uplift Modeling with Binary Outcome
  114. M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images
  115. ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
  116. NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification
  117. Projecting infinite time series graphs to finite marginal graphs using number theory
  118. Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
  119. On Double Descent in Reinforcement Learning with LSTD and Random Features
  120. WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
  121. Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond
  122. UAVs and Neural Networks for search and rescue missions
  123. Proposal-based Temporal Action Localization with Point-level Supervision
  124. Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration
  125. XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
  126. Integrating Graphs with Large Language Models: Methods and Prospects
  127. Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
  128. On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks
  129. Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
  130. IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
  131. HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving Scenarios
  132. Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces
  133. Deep Optimal Timing Strategies for Time Series
  134. Sentence-level Prompts Benefit Composed Image Retrieval
  135. Generative Judge for Evaluating Alignment
  136. Learning to Predict Structural Vibrations
  137. Enhancing Interpretability and Generalizability in Extended Isolation Forests
  138. Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain
  139. Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective
  140. AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention
  141. Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms
  142. Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
  143. Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
  144. RetSeg: Retention-based Colorectal Polyps Segmentation Network
  145. AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography
  146. Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
  147. Semantic-aware Temporal Channel-wise Attention for Cardiac Function Assessment
  148. Divide and Ensemble: Progressively Learning for the Unknown
  149. Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations
  150. Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry
  151. GradientSurf: Gradient-Domain Neural Surface Reconstruction from RGB Video
  152. Exploring the Maze of Multilingual Modeling
  153. Entropy-MCMC: Sampling from Flat Basins with Ease
  154. Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers
  155. Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
  156. Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning
  157. CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
  158. Hierarchical Side-Tuning for Vision Transformers
  159. Lightweight Full-Convolutional Siamese Tracker
  160. Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation
  161. Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
  162. Three-Stage Cascade Framework for Blurry Video Frame Interpolation
  163. CCAE: A Corpus of Chinese-based Asian Englishes
  164. Augmented Embeddings for Custom Retrievals
  165. Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data
  166. Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis
  167. Quantum Bayesian Optimization
  168. Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification
  169. SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
  170. Measuring Acoustics with Collaborative Multiple Agents
  171. Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems
  172. Molecular De Novo Design through Transformer-based Reinforcement Learning
  173. Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
  174. C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network
  175. A Glance is Enough: Extract Target Sentence By Looking at A keyword
  176. Generalized Neural Collapse for a Large Number of Classes
  177. Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training
  178. Continuous Invariance Learning
  179. Infrared Small Target Detection Using Double-Weighted Multi-Granularity Patch Tensor Model With Tensor-Train Decomposition
  180. Anyview: Generalizable Indoor 3D Object Detection with Variable Frames
  181. Investigating Continuous Learning in Spiking Neural Networks
  182. From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
  183. What do larger image classifiers memorise?
  184. GReAT: A Graph Regularized Adversarial Training Method
  185. A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection
  186. Provable Compositional Generalization for Object-Centric Learning
  187. Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
  188. Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation
  189. Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation
  190. Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond
  191. Understanding the Feature Norm for Out-of-Distribution Detection