mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 2 Nov 2023

270 papers

  1. Effective Quantization for Diffusion Models on CPUsDiffusion models → Diffusion foundations and sampling
  2. ProAgent: From Robotic Process Automation to Agentic Process AutomationLLM agents and tool use → Software engineering coding agents
  3. The Impact of Preference Agreement in Reinforcement Learning from Human Feedback: A Case Study in SummarizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  4. A Statistical Guarantee for Representation Transfer in Multitask Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  5. Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram GenerationDiffusion models → Medical imaging and segmentation
  6. Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure CalculationsDiffusion models → Flow matching, time series and science
  7. Invariant Causal Imitation Learning for Generalizable PoliciesOffline RL and imitation learning from data → Imitation learning methods
  8. What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction TuningLLM reasoning → Multimodal reasoning +1
  9. FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  10. Implicit Chain of Thought Reasoning via Knowledge DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
  11. Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Time Series Anomaly Detection using Diffusion-based ModelsDiffusion models → Flow matching, time series and science
  13. Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  14. C3DM: Constrained-Context Conditional Diffusion Models for Imitation LearningDiffusion models → Diffusion and flow policies for robotics +1
  15. The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image EditingDiffusion models → Image generation, text-to-image and editing
  16. Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile SensorsDiffusion models → Diffusion and flow policies for robotics
  17. Vision-Language Foundation Models as Effective Robot ImitatorsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias DetectionRetrieval-augmented generation → RAG robustness and adaptive retrieval
  19. Robust Identity Perceptual Watermark Against Deepfake Face SwappingLLM safety and security → Watermarking generated content and models
  20. Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action RecognitionKnowledge distillation → General knowledge distillation methods
  21. FlashDecoding++: Faster Large Language Model Inference on GPUsEfficient LLM inference and serving → Serving systems and request scheduling
  22. Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile SensorOffline RL and imitation learning from data → Robot manipulation imitation learning
  23. Optimal Transport-Guided Conditional Score-Based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  24. Diffusion Models for Reinforcement Learning: A SurveyDiffusion models → Diffusion and flow policies for robotics
  25. Automatic Configuration of Multi-Agent Model Predictive Controllers based on Semantic Graph World ModelsWorld models → World models for navigation
  26. Infusion: internal diffusion for inpainting of dynamic textures and complex motionDiffusion models → 3D, point cloud and scene generation
  27. LLM4Drive: A Survey of Large Language Models for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
  28. ATHENA: Mathematical Reasoning with Thought ExpansionLLM reasoning → Mathematical reasoning
  29. Learning to Adapt CLIP for Few-Shot Monocular Depth EstimationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  30. Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-TuningDiffusion models → Diffusion foundations and sampling +1
  31. Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete DiffusionWorld models → World models for autonomous driving +2
  32. Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic GraphsDiffusion models → Video generation
  33. COPAL-ID: Indonesian Language Reasoning with Local Culture and NuancesLLM reasoning → Reasoning benchmarks and evaluation
  34. Tensor Trust: Interpretable Prompt Injection Attacks from an Online GameLLM safety and security → Prompt injection and agent security
  35. Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue GenerationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  36. POS: A Prompts Optimization Suite for Augmenting Text-to-Video GenerationDiffusion models → Video generation
  37. E3 TTS: Easy End-to-End Diffusion-based Text to SpeechDiffusion models → Audio, speech and music
  38. Gaussian Mixture Solvers for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  39. Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free GuidanceDiffusion models → Diffusion foundations and sampling
  40. Towards High-quality HDR Deghosting with Conditional Diffusion ModelsDiffusion models → Inverse problems and image restoration
  41. MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace TrainingLLM safety and security → Membership inference attacks
  42. Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) -- an end-to-end model for characterizing severity and diagnosis
  43. A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters
  44. Data Science for Social Good
  45. Instance-Specific Asymmetric Sensitivity in Differential Privacy
  46. Modular Blended Attention Network for Video Question Answering
  47. Measuring Five Accountable Talk Moves to Improve Instruction at Scale
  48. Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
  49. Adapting Fake News Detection to the Era of Large Language Models
  50. Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
  51. Chain of Empathy: Enhancing Empathetic Response of Large Language Models Based on Psychotherapy Models
  52. Exploring Best Practices for ECG Pre-Processing in Machine Learning
  53. Graph Neural Networks for Topological Feature Extraction in ECG Classification
  54. Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
  55. Separating and Learning Latent Confounders to Enhancing User Preferences Modeling
  56. An attempt to generate new bridge types from latent space of variational autoencoder
  57. Feature Attribution Explanations for Spiking Neural Networks
  58. A Virtual Reality Training System for Automotive Engines Assembly and Disassembly
  59. Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
  60. Efficient Machine Learning Ensemble Methods for Detecting Gravitational Wave Glitches in LIGO Time Series
  61. Making Harmful Behaviors Unlearnable for Large Language Models
  62. Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
  63. RTP: Rethinking Tensor Parallelism with Memory Deduplication
  64. "Close...but not as good as an educator." -- Using ChatGPT to provide formative feedback in large-class collaborative learning
  65. Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
  66. ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
  67. InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
  68. Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
  69. FLAP: Fast Language-Audio Pre-training
  70. Responsible Emergent Multi-Agent Behavior
  71. DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
  72. Local Borsuk-Ulam, Stability, and Replicability
  73. Local Bayesian Dirichlet mixing of imperfect models
  74. Fair Graph Machine Learning under Adversarial Missingness Processes
  75. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets
  76. MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition
  77. On the Convergence of Encoder-only Shallow Transformers
  78. Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge
  79. Improving Fairness using Vision-Language Driven Image Augmentation
  80. On Preserving the Knowledge of Long Clinical Texts
  81. Sequential Subset Matching for Dataset Distillation
  82. Anytime-Competitive Reinforcement Learning with Policy Prior
  83. Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction
  84. MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory
  85. Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
  86. Market Concentration Implications of Foundation Models
  87. Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization
  88. Open-Set Object Recognition Using Mechanical Properties During Interaction
  89. Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
  90. Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map (extended version)
  91. NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
  92. ATGNN: Audio Tagging Graph Neural Network
  93. An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach
  94. 4D-Former: Multimodal 4D Panoptic Segmentation
  95. E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
  96. The Behavior of Large Language Models When Prompted to Generate Code Explanations
  97. FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
  98. Detecting Out-of-Distribution Through the Lens of Neural Collapse
  99. Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms
  100. Idempotent Generative Network
All 270
  1. Detecting Deepfakes Without Seeing Any
  2. Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts
  3. RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
  4. NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
  5. PPI++: Efficient Prediction-Powered Inference
  6. DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
  7. TopicGPT: A Prompt-based Topic Modeling Framework
  8. UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation
  9. CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
  10. Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
  11. LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
  12. Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models
  13. Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
  14. Tailoring Mixup to Data for Calibration
  15. Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior
  16. Efficient Vision Transformer for Accurate Traffic Sign Detection
  17. Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods
  18. Exploring Deep Learning Techniques for Glaucoma Detection: A Comprehensive Review
  19. CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar
  20. Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
  21. Causal Temporal Regime Structure Learning
  22. Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
  23. Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability
  24. Learning to See Physical Properties with Active Sensing Motor Policies
  25. Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs
  26. Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants
  27. Learning Realistic Traffic Agents in Closed-loop
  28. Time-series Generation by Contrastive Imitation
  29. Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
  30. Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition
  31. Monotone Generative Modeling via a Gromov-Monge Embedding
  32. Recognize Any Regions
  33. Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals
  34. GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks
  35. The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence
  36. Upper and lower bounds for the Lipschitz constant of random neural networks
  37. Deep learning based Image Compression for Microscopy Images: An Empirical Study
  38. Simplicial Models for the Epistemic Logic of Faulty Agents
  39. Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
  40. Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers
  41. Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
  42. A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories
  43. High-dimensional Linear Bandits with Knapsacks
  44. Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information
  45. Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
  46. Scattering Vision Transformer: Spectral Mixing Matters
  47. Hybrid-Fusion Transformer for Multisequence MRI
  48. The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models
  49. AWEQ: Post-Training Quantization with Activation-Weight Equalization for Large Language Models
  50. TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  51. DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
  52. Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images
  53. Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
  54. Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations
  55. People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
  56. UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
  57. Expressive TTS Driven by Natural Language Prompts Using Few Human Annotations
  58. Formal Methods for Autonomous Systems
  59. An energy-based comparative analysis of common approaches to text classification in the Legal domain
  60. Sanitized Clustering against Confounding Bias
  61. Exploring Deep Learning Image Super-Resolution for Iris Recognition
  62. FacadeNet: Conditional Facade Synthesis via Selective Editing
  63. Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition
  64. Advancing the Search Frontier with AI Agents
  65. Long Story Short: a Summarize-then-Search Method for Long Video Question Answering
  66. Multi-Operational Mathematical Derivations in Latent Space
  67. Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning
  68. Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter
  69. High-Quality Animatable Dynamic Garment Reconstruction from Monocular Videos
  70. Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification
  71. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
  72. Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration
  73. Federated Learning on Edge Sensing Devices: A Review
  74. Continual Learning Under Language Shift
  75. Gaussian Processes on Cellular Complexes
  76. AiluRus: A Scalable ViT Framework for Dense Prediction
  77. Combating Bilateral Edge Noise for Robust Link Prediction
  78. Batch Bayesian Optimization for Replicable Experimental Design
  79. Contextual Confidence and Generative AI
  80. Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network
  81. VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification
  82. Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
  83. Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing Architectures
  84. CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL
  85. Generative Input: Towards Next-Generation Input Methods Paradigm
  86. Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
  87. Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification
  88. A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence
  89. ACES: Translation Accuracy Challenge Sets at WMT 2023
  90. Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
  91. Revisiting the Knowledge Injection Frameworks
  92. ChineseWebText: Large-scale High-quality Chinese Web Text Extracted with Effective Evaluation Model
  93. Add and Thin: Diffusion for Temporal Point Processes
  94. AeroPath: An airway segmentation benchmark dataset with challenging pathology
  95. Generating QM1B with PySCFIPU
  96. A deep learning experiment for semantic segmentation of overlapping characters in palimpsests
  97. AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
  98. Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
  99. H-NeXt: The next step towards roto-translation invariant networks
  100. Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
  101. GREEMA: Proposal and Experimental Verification of Growing Robot by Eating Environmental MAterial for Landslide Disaster
  102. In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
  103. Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation
  104. Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
  105. Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
  106. Multilingual DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific Experts
  107. Dynamic Multimodal Information Bottleneck for Multimodality Classification
  108. Novel View Synthesis from a Single RGBD Image for Indoor Scenes
  109. Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
  110. Deep Learning for real-time neural decoding of grasp
  111. Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
  112. Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
  113. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
  114. Application and Energy-Aware Data Aggregation using Vector Synchronization in Distributed Battery-less IoT Networks
  115. Multi-dimensional data refining strategy for effective fine-tuning LLMs
  116. AI-assisted Learning for Electronic Engineering Courses in High Education
  117. Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
  118. Time-Independent Information-Theoretic Generalization Bounds for SGLD
  119. Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
  120. Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
  121. Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction
  122. Joint Learning of Local and Global Features for Aspect-based Sentiment Classification
  123. Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing
  124. Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection
  125. Distance-Based Propagation for Efficient Knowledge Graph Reasoning
  126. Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation
  127. NeuroWrite: Predictive Handwritten Digit Classification using Deep Neural Networks
  128. Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning
  129. Fast Shapley Value Estimation: A Unified Approach
  130. Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis
  131. Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
  132. Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning
  133. Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
  134. Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
  135. Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia
  136. VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
  137. A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
  138. LaughTalk: Expressive 3D Talking Head Generation with Laughter
  139. Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach
  140. IR-UWB Radar-based Situational Awareness System for Smartphone-Distracted Pedestrians
  141. VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
  142. CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation
  143. M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection
  144. Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
  145. MAAIG: Motion Analysis And Instruction Generation
  146. Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation
  147. Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles
  148. Federated Linear Bandits with Finite Adversarial Actions
  149. An Integrated Framework Integrating Monte Carlo Tree Search and Supervised Learning for Train Timetabling Problem
  150. Lightweight super resolution network for point cloud geometry compression
  151. Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model
  152. Vision-Language Interpreter for Robot Task Planning
  153. Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
  154. On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications
  155. Detecting Generated Images by Real Images Only
  156. Concatenated Masked Autoencoders as Spatial-Temporal Learner
  157. Dynamic Fair Federated Learning Based on Reinforcement Learning
  158. IndoToD: A Multi-Domain Indonesian Benchmark For End-to-End Task-Oriented Dialogue Systems
  159. Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
  160. SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
  161. Learning Defect Prediction from Unrealistic Data
  162. Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
  163. M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
  164. The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
  165. A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
  166. RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
  167. Task-Agnostic Low-Rank Adapters for Unseen English Dialects
  168. Self-Influence Guided Data Reweighting for Language Model Pre-training
  169. Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
  170. Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report