mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 19 Jul 2024

255 papers

  1. A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  2. Data Poisoning: An Overlooked Threat to Power Grid ResilienceLLM safety and security → Backdoor and data poisoning attacks
  3. Value Internalization: Learning and Generalizing from Social RewardLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  4. Compact Language Models via Pruning and Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  5. OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
  6. Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational ContextLLM safety and security → Jailbreaking
  7. BOND: Aligning LLMs with Best-of-N DistillationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  8. Adversarial Databases Improve Success in Retrieval-based Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  9. Internal Consistency and Self-Feedback in Large Language Models: A SurveyLLM reasoning → Test-time compute and efficient thinking
  10. On Pre-training of Multimodal Language Models Customized for Chart UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  11. Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecificationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  12. M2D2M: Multi-Motion Generation from Text with Discrete Diffusion ModelsDiffusion models → Video generation
  13. Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept DiscoveryMechanistic interpretability → Sparse autoencoder training and evaluation
  14. InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability TechniquesMechanistic interpretability → Circuits and mechanistic analysis
  15. PD-APE: A Parallel Decoding Framework with Adaptive Position Encoding for 3D Visual GroundingEfficient LLM inference and serving → Visual token pruning in multimodal models
  16. Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentDeep reinforcement learning methods → Adversarial robustness and RL in finance
  17. ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG CapabilitiesRetrieval-augmented generation → RAG pipeline design and evaluation
  18. Data-Centric Human Preference with Rationales for Direct Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  19. Token-level Correlation-guided Compression for Efficient Multimodal Document UnderstandingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  20. Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse AutoencodersMechanistic interpretability → SAE features and their applications
  21. Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion ModelDiffusion models → Medical imaging and segmentation
  22. Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion ModelsDiffusion models → Medical imaging and segmentation
  23. Mixture of Experts with Mixture of Precisions for Tuning Quality of ServiceMixture-of-experts → Efficient MoE training and inference systems
  24. DEAL: Disentangle and Localize Concept-level Explanations for VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  25. Efficient Audio Captioning with Encoder-Level Knowledge DistillationKnowledge distillation → Speech and audio distillation
  26. Panoptic Segmentation of Mammograms with Text-To-Image Diffusion ModelDiffusion models → Medical imaging and segmentation
  27. Multimodal Misinformation Detection using Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  28. How to Blend Concepts in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  29. Hyperparameter Optimization for Driving Strategies Based on Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
  30. KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving +1
  31. Words2Contact: Identifying Support Contacts from Verbal Instructions Using Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  32. Unlearning Concepts from Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  33. Longhorn: State Space Models are Amortized Online LearnersState-space sequence models (S4, Mamba) → Core SSM architectures for language
  34. Watermark Smoothing Attacks against Language ModelsLLM safety and security → Watermarking generated content and models
  35. EVLM: An Efficient Vision-Language Model for Visual UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  36. On Policy Evaluation Algorithms in Distributional Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  37. Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion modelDiffusion models → Flow matching, time series and science
  38. A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2CDeep reinforcement learning methods → Deep RL algorithms and representations
  39. Fine-grained Knowledge Graph-driven Video-Language Learning for Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  40. I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D ReconstructionLLM reasoning → Spatial and embodied reasoning +1
  41. Rethinking Visual Content Refinement in Low-Shot CLIP AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  42. Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  43. Stable-Hair: Real-World Hair Transfer via Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  44. LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM InferenceEfficient LLM inference and serving → Early exit and edge inference
  45. Not All Noises Are Created Equally:Diffusion Noise Selection and OptimizationDiffusion models → Diffusion foundations and sampling
  46. Investigating the Indirect Object Identification circuit in MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones +1
  47. RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  48. Track-MDP: Reinforcement Learning for Target Tracking with Controlled SensingDeep reinforcement learning methods → RL theory and sample complexity
  49. Decomposed Direct Preference Optimization for Structure-Based Drug DesignDiffusion models → Flow matching, time series and science
  50. PlacidDreamer: Advancing Harmony in Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
  51. Knowledge Distillation Approaches for Accurate and Efficient Recommender SystemKnowledge distillation → Distillation for recommender systems
  52. Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
  53. Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
  54. Reconstruction of the shape of irregular rough particles from their interferometric images using a convolutional neural network
  55. AI for All: Identifying AI incidents Related to Diversity and Inclusion
  56. Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization
  57. A New Clustering-based View Planning Method for Building Inspection with Drone
  58. Advancing Chart Question Answering with Robust Chart Component Recognition
  59. An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units
  60. Riemannian Geometry-Based EEG Approaches: A Literature Review
  61. Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
  62. LAPIS: Language Model-Augmented Police Investigation System
  63. How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
  64. LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
  65. Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas
  66. Shapley Pruning for Neural Network Compression
  67. CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
  68. Contextual modulation of language comprehension in a dynamic neural model of lexical meaning
  69. Composer's Assistant 2: Interactive Multi-Track MIDI Infilling with Fine-Grained User Control
  70. Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021
  71. On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
  72. Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
  73. Is F1 Score Suboptimal for Cybersecurity Models? Introducing Cscore, a Cost-Aware Alternative for Model Assessment
  74. Relational Composition in Neural Networks: A Survey and Call to Action
  75. A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
  76. LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition
  77. Improving Representation of High-frequency Components for Medical Visual Foundation Models
  78. The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments
  79. Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference
  80. CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models
  81. Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis
  82. Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
  83. The Research of Group Re-identification from Multiple Cameras
  84. SOREL: A Stochastic Algorithm for Spectral Risks Minimization
  85. DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
  86. Evaluating language models as risk scores
  87. ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation
  88. A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models
  89. Regression prediction algorithm for energy consumption regression in cloud computing based on horned lizard algorithm optimised convolutional neural network-bidirectional gated recurrent unit
  90. Are handcrafted filters helpful for attributing AI-generated images?
  91. SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
  92. Integrating Artificial Intelligence into Operating Systems: A Survey on Techniques, Applications, and Future Directions
  93. Detecting and Characterising Mobile App Metamorphosis in Google Play Store
  94. DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
  95. T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
  96. Physical Data Embedding for Memory Efficient AI
  97. Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
  98. Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation
  99. Conformal Thresholded Intervals for Efficient Regression
  100. Evaluating the Reliability of Self-Explanations in Large Language Models
All 255
  1. A review on vision-based motion estimation
  2. Contrastive Learning with Counterfactual Explanations for Radiology Report Generation
  3. MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images
  4. Check-Eval: A Checklist-based Approach for Evaluating Text Quality
  5. AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection
  6. SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
  7. PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
  8. AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech
  9. The Extrapolation Power of Implicit Models
  10. Dataset Distillation in Medical Imaging: A Feasibility Study
  11. HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation
  12. Improving classification of road surface conditions via road area extraction and contrastive learning
  13. System-1.x: Learning to Balance Fast and Slow Planning with Language Models
  14. The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  15. On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN
  16. TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems
  17. GLAudio Listens to the Sound of the Graph
  18. Frontiers of Deep Learning: From Novel Application to Real-World Deployment
  19. The Sticky Path to Expressive Querying: Decidability of Navigational Queries under Existential Rules
  20. Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
  21. Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN
  22. On the use of Probabilistic Forecasting for Network Analysis in Open RAN
  23. SCoPE: Evaluating LLMs for Software Vulnerability Detection
  24. Open Artificial Knowledge
  25. Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
  26. Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio
  27. FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer
  28. Stable Audio Open
  29. Interior Object Geometry via Fitted Frames
  30. Vision-Based Power Line Cables and Pylons Detection for Low Flying Aircraft
  31. Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
  32. LLMs left, right, and center: Assessing GPT's capabilities to label political bias from web domains
  33. Quantifying the value of positive transfer: An experimental case study
  34. Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  35. Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
  36. Modality-Order Matters! A Novel Hierarchical Feature Fusion Method for CoSAm: A Code-Switched Autism Corpus
  37. How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
  38. EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
  39. How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
  40. Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation
  41. Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
  42. Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
  43. Foundation Models for Autonomous Robots in Unstructured Environments
  44. CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units
  45. Adaptive Frequency Enhancement Network for Single Image Deraining
  46. OpenSU3D: Open World 3D Scene Understanding using Foundation Models
  47. Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
  48. Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations
  49. L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering
  50. Voices in a Crowd: Searching for Clusters of Unique Perspectives
  51. SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization
  52. Personalized Multi-tier Federated Learning
  53. An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
  54. Unipa-GPT: Large Language Models for university-oriented QA in Italian
  55. Dataset Distillation by Automatic Training Trajectories
  56. Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images
  57. Hyper-Heuristics Can Profit From Global Variation Operators
  58. Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection
  59. ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
  60. Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition
  61. Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference
  62. Braille-to-Speech Generator: Audio Generation Based on Joint Fine-Tuning of CLIP and Fastspeech2
  63. Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
  64. Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
  65. Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
  66. Bucketed Ranking-based Losses for Efficient Training of Object Detectors
  67. SHS: Scorpion Hunting Strategy Swarm Algorithm
  68. Double-Shot 3D Shape Measurement with a Dual-Branch Network for Structured Light Projection Profilometry
  69. A Benchmark for Gaussian Splatting Compression and Quality Assessment Study
  70. Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis
  71. LeKUBE: A Legal Knowledge Update BEnchmark
  72. Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis
  73. TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
  74. Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models
  75. Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis
  76. Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme
  77. On Maximum Entropy Linear Feature Inversion
  78. Where is the Testbed for my Federated Learning Research?
  79. De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
  80. PassTSL: Modeling Human-Created Passwords through Two-Stage Learning
  81. Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
  82. Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
  83. Visual Text Generation in the Wild
  84. Bidirectional Regression for Monocular 6DoF Head Pose Estimation and Reference System Alignment
  85. Comparing and Contrasting DLWP Backbones on Navier-Stokes and Atmospheric Dynamics
  86. OCTolyzer: Fully automatic toolkit for segmentation and feature extracting in optical coherence tomography and scanning laser ophthalmoscopy data
  87. Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
  88. Seismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection
  89. The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing
  90. Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming
  91. AuditNet: A Conversational AI-based Security Assistant [DEMO]
  92. A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models
  93. A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
  94. MC-PanDA: Mask Confidence for Panoptic Domain Adaptation
  95. GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation
  96. TorchGT: A Holistic System for Large-scale Graph Transformer Training
  97. Zero-Shot Underwater Gesture Recognition
  98. ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging
  99. Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
  100. People use fast, goal-directed simulation to reason about novel games
  101. User-Creator Feature Polarization in Recommender Systems with Dual Influence
  102. Integrated Push-and-Pull Update Model for Goal-Oriented Effective Communication
  103. Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation
  104. Score Normalization for Demographic Fairness in Face Recognition
  105. Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object Tracking
  106. An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
  107. DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
  108. Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Field
  109. LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
  110. Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
  111. 360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation
  112. MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction
  113. Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability
  114. Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
  115. Regularizing Dynamic Radiance Fields with Kinematic Fields
  116. Towards the Causal Complete Cause of Multi-Modal Representation Learning
  117. Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings
  118. Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
  119. PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training
  120. DirectL: Efficient Radiance Fields Rendering for 3D Light Field Displays
  121. Prompted Aspect Key Point Analysis for Quantitative Review Summarization
  122. OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
  123. ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
  124. Kinematics-based 3D Human-Object Interaction Reconstruction from Single View
  125. Generative Language Model for Catalyst Discovery
  126. BERTer: The Efficient One
  127. Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance
  128. HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
  129. PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
  130. Semi-supervised reference-based sketch extraction using a contrastive learning framework
  131. TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
  132. Causal Inference with Complex Treatments: A Survey
  133. GE2E-AC: Generalized End-to-End Loss Training for Accent Classification
  134. NeuroBind: Towards Unified Multimodal Representations for Neural Signals
  135. Scale Disparity of Instances in Interactive Point Cloud Segmentation
  136. Multi-modal Relation Distillation for Unified 3D Representation Learning
  137. Time Series Generative Learning with Application to Brain Imaging Analysis
  138. Component Selection for Craft Assembly Tasks
  139. Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization
  140. NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication
  141. LLAssist: Simple Tools for Automating Literature Review Using Large Language Models
  142. Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
  143. RealViformer: Investigating Attention for Real-World Video Super-Resolution
  144. Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
  145. Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance
  146. Byzantine-tolerant distributed learning of finite mixture models
  147. Truthfulness of Calibration Measures
  148. Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis
  149. A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
  150. Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
  151. Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference
  152. Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems
  153. Optimizing Agricultural Order Fulfillment Systems: A Hybrid Tree Search Approach
  154. The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
  155. Neural topology optimization: the good, the bad, and the ugly