mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 4 Oct 2023

262 papers

  1. On the Performance of Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  2. Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceRetrieval-augmented generation → RAG robustness and adaptive retrieval
  3. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UseLLM agents and tool use → Tool learning and function calling
  4. Reinforcement Learning-based Mixture of Vision Transformers for Video Violence RecognitionMixture-of-experts → Vision mixture-of-experts
  5. Learning to Prompt Your Domain for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  6. Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  7. How FaR Are Large Language Models From Agents with Theory-of-Mind?LLM agents and tool use → General LLM agent frameworks and benchmarks
  8. LanguageMPC: Large Language Models as Decision Makers for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
  9. Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision MakingOffline RL and imitation learning from data → Decision transformers and sequence modeling
  10. Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  11. Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One DayDiffusion models → 3D, point cloud and scene generation
  12. SemiReward: A General Reward Model for Semi-supervised LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  13. ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  14. Kosmos-G: Generating Images in Context with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  15. Probing Intersectional Biases in Vision-Language Models with Counterfactual ExamplesMultimodal LLMs / vision-language models → Social bias and fairness in VLMs +1
  16. T3Bench: Benchmarking Current Progress in Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
  17. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  18. Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual PromptsDiffusion models → Medical imaging and segmentation
  19. Magicremover: Tuning-free Text-guided Image inpainting with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  20. DOMINO: A Dual-System for Multi-step Visual Language ReasoningLLM reasoning → Multimodal reasoning
  21. The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  22. Reward Model Ensembles Help Mitigate OveroptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRFDiffusion models → 3D, point cloud and scene generation
  24. On Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  25. Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its OwnLLM agents and tool use → Multimodal and embodied agents
  26. BA-MoE: Boundary-Aware Mixture-of-Experts Adapter for Code-Switching Speech RecognitionMixture-of-experts → Multimodal MoE models
  27. Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic FlowEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  28. MagicDrive: Street View Generation with Diverse 3D Geometry ControlDiffusion models → Diffusion and flow policies for robotics
  29. SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3DDiffusion models → 3D, point cloud and scene generation
  30. I2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language UnderstandingKnowledge distillation → Speech and audio distillation
  31. Improving Knowledge Distillation with Teacher's ExplanationKnowledge distillation → General knowledge distillation methods
  32. ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented BenchmarksMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  33. Generalization in diffusion models arises from geometry-adaptive harmonic representationsDiffusion models → Diffusion foundations and sampling
  34. Heterogeneous Federated Learning Using Knowledge CodistillationKnowledge distillation → Federated, robust and private distillation
  35. Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant AutoencodersDiffusion models → Flow matching, time series and science
  36. Learning to Reach Goals via DiffusionDiffusion models → Diffusion and flow policies for robotics
  37. Key Factors Affecting European Reactions to AI in European Full and Flawed Democracies
  38. Evaluating and Improving Value Judgments in AI: A Scenario-Based Study on Large Language Models' Depiction of Social Conventions
  39. Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
  40. A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
  41. Stochastic Thermodynamics of Learning Parametric Probabilistic Models
  42. Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs
  43. Large language models in textual analysis for gesture selection
  44. Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models
  45. A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
  46. GPT-4 as an interface between researchers and computational software: improving usability and reproducibility
  47. Analyzing Key Users' behavior trends in Volunteer-Based Networks
  48. ProGO: Probabilistic Global Optimizer
  49. Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation
  50. Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
  51. Spherical Position Encoding for Transformers
  52. COVID-19 South African Vaccine Hesitancy Models Show Boost in Performance Upon Fine-Tuning on M-pox Tweets
  53. Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer
  54. Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study
  55. Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining
  56. PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks
  57. Can Language Models Employ the Socratic Method? Experiments with Code Debugging
  58. Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances
  59. A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
  60. Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
  61. The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices
  62. Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication
  63. Inferring Inference
  64. Misusing Tools in Large Language Models With Visual Adversarial Examples
  65. Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models
  66. Digital Ethics in Federated Learning
  67. Test Case Recommendations with Distributed Representation of Code Syntactic Features
  68. B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
  69. Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
  70. Enhancing Accuracy in Deep Learning Using Random Matrix Theory
  71. FedNAR: Federated Optimization with Normalized Annealing Regularization
  72. Neural architecture impact on identifying temporally extended Reinforcement Learning tasks
  73. Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
  74. FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
  75. Towards out-of-distribution generalizable predictions of chemical kinetics properties
  76. Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
  77. Attributing Learned Concepts in Neural Networks to Training Data
  78. Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
  79. ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
  80. Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation
  81. Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
  82. OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
  83. Crossed-IoT device portability of Electromagnetic Side Channel Analysis: Challenges and Dataset
  84. Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator
  85. Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation
  86. Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
  87. Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection
  88. Differentially Private Optimization for Non-Decomposable Objective Functions
  89. Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns
  90. Physics-Informed Neural Networks for Accelerating Power System State Estimation
  91. Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
  92. Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  93. Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems
  94. Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
  95. Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
  96. QuATON: Quantization Aware Training of Optical Neurons
  97. Retrieval meets Long Context Large Language Models
  98. AstroCLIP: A Cross-Modal Foundation Model for Galaxies
  99. Human-oriented Representation Learning for Robotic Manipulation
  100. Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
All 262
  1. Multimodal Question Answering for Unified Information Extraction
  2. Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
  3. Spectral alignment of stochastic gradient descent for high-dimensional classification tasks
  4. Towards Domain-Specific Features Disentanglement for Domain Generalization
  5. COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
  6. Reversing Deep Face Embeddings with Probable Privacy Protection
  7. Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization
  8. From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
  9. Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks
  10. Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing
  11. IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning
  12. Multiple Physics Pretraining for Physical Surrogate Models
  13. xVal: A Continuous Numerical Tokenization for Scientific Language Models
  14. Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
  15. Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios
  16. Scaling Laws for Associative Memories
  17. Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
  18. (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits
  19. UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
  20. Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma
  21. Prompting and Adapter Tuning for Self-supervised Encoder-Decoder Speech Model
  22. Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
  23. Dual Conic Proxies for AC Optimal Power Flow
  24. Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning
  25. CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
  26. Credit card score prediction using machine learning models: A new dataset
  27. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
  28. JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
  29. A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
  30. HappyFeat -- An interactive and efficient BCI framework for clinical applications
  31. Local Max-Entropy and Free Energy Principles, Belief Diffusions and their Singularities
  32. Adaptive Landmark Color for AUV Docking in Visually Dynamic Environments
  33. LibriSpeech-PC: Benchmark for Evaluation of Punctuation and Capitalization Capabilities of end-to-end ASR Models
  34. Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach
  35. Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition
  36. Assessing Large Language Models on Climate Information
  37. Graph data modelling for outcome prediction in oropharyngeal cancer patients
  38. Optimal Transport with Adaptive Regularisation
  39. Enhancing Ayurvedic Diagnosis using Multinomial Naive Bayes and K-modes Clustering: An Investigation into Prakriti Types and Dosha Overlapping
  40. Attention-based Multi-task Learning for Base Editor Outcome Prediction
  41. Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
  42. ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
  43. Spline-based neural network interatomic potentials: blending classical and machine learning models
  44. FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
  45. Searching for High-Value Molecules Using Reinforcement Learning and Transformers
  46. Efficient Vectorized Backpropagation Algorithms for Training Feedforward Networks Composed of Quadratic Neurons
  47. How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation
  48. Notes on a Path to AI Assistance in Mathematical Reasoning
  49. CoLiDE: Concomitant Linear DAG Estimation
  50. Human-centric Behavior Description in Videos: New Benchmark and Model
  51. A Grammatical Compositional Model for Video Action Detection
  52. Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data
  53. Stationarity without mean reversion in improper Gaussian processes
  54. Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation
  55. Recent Methodological Advances in Federated Learning for Healthcare
  56. Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric
  57. Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications
  58. Estimation of Models with Limited Data by Leveraging Shared Structure
  59. Conformal Predictions for Longitudinal Data
  60. A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression
  61. Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
  62. Multi-Resolution Fusion for Fully Automatic Cephalometric Landmark Detection
  63. Multi-Domain Causal Representation Learning via Weak Distributional Invariances
  64. Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
  65. Delving into CLIP latent space for Video Anomaly Recognition
  66. Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
  67. All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions
  68. Learning to Scale Logits for Temperature-Conditional GFlowNets
  69. Improving Vision Anomaly Detection with the Guidance of Language Modality
  70. CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
  71. Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
  72. A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
  73. MP-FVM: Enhancing Finite Volume Method for Water Infiltration Modeling in Unsaturated Soils via Message-passing Encoder-decoder Network
  74. Continuous 3D Myocardial Motion Tracking via Echocardiography
  75. Low Resource Summarization using Pre-trained Language Models
  76. MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems
  77. Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
  78. LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators
  79. Expected flow networks in stochastic environments and two-player zero-sum games
  80. Integrating UMLS Knowledge into Large Language Models for Medical Question Answering
  81. Dynamic Shuffle: An Efficient Channel Mixture Method
  82. Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition
  83. Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
  84. Kernel-based function learning in dynamic and non stationary environments
  85. Comparative Study and Framework for Automated Summariser Evaluation: LangChain and Hybrid Algorithms
  86. LC-Score: Reference-less estimation of Text Comprehension Difficulty
  87. MUNCH: Modelling Unique 'N Controllable Heads
  88. Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms
  89. SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
  90. SALSA: Semantically-Aware Latent Space Autoencoder
  91. Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning
  92. Extracting Rules from Event Data for Study Planning
  93. Functional trustworthiness of AI systems by statistically valid testing
  94. End-to-End Training of a Neural HMM with Label and Transition Probabilities
  95. Leveraging Temporal Graph Networks Using Module Decoupling
  96. Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC
  97. Understanding Pan-Sharpening via Generalized Inverse
  98. Online Clustering of Bandits with Misspecified User Models
  99. GETAvatar: Generative Textured Meshes for Animatable Human Avatars
  100. scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain
  101. Local Search GFlowNets
  102. On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
  103. Continual Contrastive Spoken Language Understanding
  104. Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
  105. Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays
  106. Clustering-based Image-Text Graph Matching for Domain Generalization
  107. Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators
  108. Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Clasification
  109. USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
  110. Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
  111. PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
  112. ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer
  113. Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
  114. MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation
  115. Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver
  116. AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation
  117. A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs
  118. Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning
  119. Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach
  120. GET: Group Event Transformer for Event-Based Vision
  121. Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis
  122. P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD Model from Point Clouds
  123. Multi-rules mining algorithm for combinatorially exploded decision trees with modified Aitchison-Aitken function-based Bayesian optimization
  124. Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
  125. On Quantified Observability Analysis in Multiagent Systems
  126. Analyzing and Improving Optimal-Transport-based Adversarial Networks
  127. Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix
  128. Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
  129. Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
  130. A ModelOps-based Framework for Intelligent Medical Knowledge Extraction
  131. ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision Transformer
  132. Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
  133. Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
  134. On the Stability of Expressive Positional Encodings for Graphs
  135. A Prototype-Based Neural Network for Image Anomaly Detection and Localization
  136. AdaMerging: Adaptive Model Merging for Multi-Task Learning
  137. Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks
  138. Improving Automatic VQA Evaluation Using Large Language Models
  139. Improving Drumming Robot Via Attention Transformer Network
  140. Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
  141. Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework
  142. NOLA: Compressing LoRA using Linear Combination of Random Basis
  143. zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
  144. Exact and soft boundary conditions in Physics-Informed Neural Networks for the Variable Coefficient Poisson equation
  145. Joint Design of Protein Sequence and Structure based on Motifs
  146. SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers
  147. Tensor Completion Leveraging Graph Information: A Dynamic Regularization Approach with Statistical Guarantees
  148. Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
  149. Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
  150. Quantifying and mitigating the impact of label errors on model disparity metrics
  151. ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking
  152. MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
  153. On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study
  154. CITING: Large Language Models Create Curriculum for Instruction Tuning
  155. Federated Conditional Stochastic Optimization
  156. A Spatio-Temporal Attention-Based Method for Detecting Student Classroom Behaviors
  157. SCB-Dataset3: A Benchmark for Detecting Student Classroom Behavior
  158. MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
  159. Parameterized Convex Minorant for Objective Function Approximation in Amortized Optimization
  160. A Recipe for Improved Certifiable Robustness
  161. Proactive Human-Robot Interaction using Visuo-Lingual Transformers
  162. Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities