Papers
Fri 6 Sep 2024
208 papers
- Efficient Training of Large Vision Models via Advanced Automated Progressive LearningDiffusion models → Diffusion foundations and sampling
- WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with DiffusionDiffusion models → Audio, speech and music
- WebQuest: A Benchmark for Multimodal QA on Web Page SequencesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- You can remove GPT2's LayerNorm by fine-tuningMechanistic interpretability → Knowledge and representations inside LLMs
- Column Vocabulary Association (CVA): semantic interpretation of dataless tablesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Towards Safe Multilingual Frontier AILLM safety and security → Jailbreaking
- Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT SupportRetrieval-augmented generation → RAG pipeline design and evaluation
- Faster Q-Learning Algorithms for Restless BanditsDeep reinforcement learning methods → RL theory and sample complexity
- Programming Refusal with Conditional Activation SteeringMechanistic interpretability → Steering and probing for LLM safety
- Stacked Universal Successor Feature Approximators for Safety in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Sparse Rewards Can Self-Train Dialogue AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +2
- Convergence of Decentralized Actor-Critic Algorithm in General-sum Markov GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Whittle Index Learning Algorithms for Restless Bandits with Constant StepsizesDeep reinforcement learning methods → RL theory and sample complexity
- Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic AssistanceSynthetic data and self-improvement for LLMs → Self-evolving search agents
- ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Joint Diffusion for Universal Hand-Object Grasp GenerationDiffusion models → Diffusion and flow policies for robotics
- VILA-U: a Unified Foundation Model Integrating Visual Understanding and GenerationDiffusion models → Image generation, text-to-image and editing
- Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit priorDiffusion models → Inverse problems and image restoration
- Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space ModelState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Refined Bounds on Near Optimality Finite Window Policies in POMDPs and Their Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- AGR: Age Group fairness Reward for Bias Mitigation in LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- How Fair is Your Diffusion Recommender Model?Diffusion models → Diffusion recommenders
- Using Large Language Models to Generate Authentic Multi-agent Knowledge Work DatasetsLLM agents and tool use → Web, search, and research agents
- MpoxMamba: A Grouped Mamba-based Lightweight Hybrid Network for Mpox DetectionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Diagram Formalization Enhanced Multi-Modal Geometry Problem SolverLLM reasoning → Spatial and embodied reasoning
- Residual Stream Analysis with Multi-Layer SAEsMechanistic interpretability → SAE features and their applications
- GALLa: Graph Aligned Large Language Models for Improved Source Code UnderstandingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation
- Context is the Key: Backdoor Attacks for In-Context Learning with Vision TransformersLLM safety and security → Backdoor and data poisoning attacks
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersLLM agents and tool use → Web, search, and research agents
- D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detectionDiffusion models → Inverse problems and image restoration
- Self-Harmonized Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-TaskDiffusion models → Video generation
- DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving ScenesDiffusion models → Diffusion and flow policies for robotics +1
- Automating Robot Failure Recovery Using Vision-Language Models With Optimized PromptsLLM reasoning → Spatial and embodied reasoning +1
- Generating Faithful and Salient Text from Multimodal DataMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Beyond Following: Mixing Active Initiative into Computational Creativity
- Texture Discrimination via Hilbert Curve Path Based Information Quantifiers
- Evaluating the Impact of a Specialized LLM on Physician Experience in Clinical Decision Support: A Comparison of Ask Avo and ChatGPT-4
- Cognitive phantoms in LLMs through the lens of latent variables
- Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions
- AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
- Medical Concept Normalization in a Low-Resource Setting
- Decolonising Data Systems: Using Jyutping or Pinyin as tonal representations of Chinese names for data linkage
- Temporal Many-valued Conditional Logics: a Preliminary Report
- SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting
- Contrastive Learning-based User Identification with Limited Data on Smart Textiles
- STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting
- Towards Narrowing the Generalization Gap in Deep Boolean Networks
- OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models
- Generalization vs. Memorization in the Presence of Statistical Biases in Transformers
- Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search
- Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S
- Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
- Notes on Sampled Gaussian Mechanism
- Structure-Invariant Range-Visual-Inertial Odometry
- Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models
- A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology
- Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
- Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment
- Training quantum machine learning models on cloud without uploading the data
- Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection
- The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review
- BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training
- A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
- Detecting Buggy Contracts via Smart Testing
- NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
- CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
- Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning
- Neurosymbolic Methods for Dynamic Knowledge Graphs
- Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI
- Dual-Level Cross-Modal Contrastive Clustering
- Thinking Outside the BBox: Unconstrained Generative Object Compositing
- DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
- How Does Code Pretraining Affect Language Model Task Performance?
- Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
- Operator Learning with Gaussian Processes
- The role of data embedding in quantum autoencoders for improved anomaly detection
- Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
- 3D Data Long-Term Preservation in Cultural Heritage
- Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
- Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
- Diff-INR: Generative Regularization for Electrical Impedance Tomography
- Protein sequence classification using natural language processing techniques
- SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields
- Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
- Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms
- Synergy and Synchrony in Couple Dances
- Accelerating Training with Neuron Interaction and Nowcasting Networks
- A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
- Theory, Analysis, and Best Practices for Sigmoid Self-Attention
- Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
- Exploring Foundation Models for Synthetic Medical Imaging: A Study on Chest X-Rays and Fine-Tuning Techniques
- RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
- Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint
- Approximating Metric Magnitude of Point Sets
- Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
- Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
- Exploiting Missing Data Remediation Strategies using Adversarial Missingness Attacks
All 208
- Quantum Kernel Methods under Scrutiny: A Benchmarking Study
- HiSC4D: Human-centered interaction and 4D Scene Capture in Large-scale Space Using Wearable IMUs and LiDAR
- Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences
- Question-Answering Dense Video Events
- Enhancing Skin Lesion Diagnosis with Ensemble Learning
- Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
- The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study
- Algorithm Configuration for Structured Pfaffian Settings
- Leveraging Machine Learning for Official Statistics: A Statistical Manifesto
- RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
- Connectivity-Inspired Network for Context-Aware Recognition
- A naive aggregation algorithm for improving generalization in a class of learning problems
- Computer-Generated Sand Mixtures and Sand-based Images
- Towards Fine-Grained Webpage Fingerprinting at Scale
- A high-accuracy multi-model mixing retrosynthetic method
- Amortized Bayesian Workflow
- How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests
- Active learning for regression in engineering populations: A risk-informed approach
- Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
- Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
- Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
- Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes
- Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields
- A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous Solubility
- Equivariant Machine Learning Decoder for 3D Toric Codes
- RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
- CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
- AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspective
- Cycle Pixel Difference Network for Crisp Edge Detection
- Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak
- An overview of domain-specific foundation model: key technologies, applications and challenges
- Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices
- WarpAdam: A new Adam optimizer based on Meta-Learning approach
- Hybrid Cost Volume for Memory-Efficient Optical Flow
- Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
- Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
- UniDet3D: Multi-dataset Indoor 3D Object Detection
- SPACE: A Python-based Simulator for Evaluating Decentralized Multi-Robot Task Allocation Algorithms
- Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework
- Learning to Learn Transferable Generative Attack for Person Re-Identification
- Fast Forwarding Low-Rank Training
- Introducing Gating and Context into Temporal Action Detection
- GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
- Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
- Reassessing the Validity of Spurious Correlations Benchmarks
- LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration
- Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering
- The Prevalence of Neural Collapse in Neural Multivariate Regression
- Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
- CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies
- Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph
- Can OpenSource beat ChatGPT? -- A Comparative Study of Large Language Models for Text-to-Code Generation
- CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks
- A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
- An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations
- Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
- Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
- Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks
- Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
- Confidence-Aware Document OCR Error Detection
- Segmentation and Smoothing Affect Explanation Quality More Than the Choice of Perturbation-based XAI Method for Image Explanations
- Multi-Programming Language Ensemble for Code Generation in Large Language Model
- Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
- MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
- The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
- Intelligent tutoring systems by Bayesian nets with noisy gates
- Ultra-imbalanced classification guided by statistical information
- UNIT: Unifying Image and Text Recognition in One Vision Encoder
- Introducing a Class-Aware Metric for Monocular Depth Estimation: An Automotive Perspective
- Structure and dynamics of growing networks of Reddit threads
- SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
- UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity
- AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model
- Multi-Scale Graph Theoretical Analysis of Resting-State fMRI for Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Controls
- Online Residual Learning from Offline Experts for Pedestrian Tracking
- Site-Specific Color Features of Green Coffee Beans
- Preconditioned FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems
- An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms
- Refining Wikidata Taxonomy using Large Language Models
- COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes
- EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
- Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions
- On Evaluation of Vision Datasets and Models using Human Competency Frameworks
- A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
- PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
- MultiCounter: Multiple Action Agnostic Repetition Counting in Untrimmed Videos
- Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
- BFA-YOLO: A balanced multiscale object detection network for building faccade attachments detection
- Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression
- Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy
- 3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors
- Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision
- Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
- Searching for Effective Preprocessing Method and CNN-based Architecture with Efficient Channel Attention on Speech Emotion Recognition
- One-Shot Diffusion Mimicker for Handwritten Text Generation
- A semi-supervised learning using over-parameterized regression
- Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
- Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
- An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis
- Boundary feature fusion network for tooth image segmentation
- Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows
- Bi-modality medical images synthesis by a bi-directional discrete process matching method
- Average Causal Effect Estimation in DAGs with Hidden Variables: Beyond Back-Door and Front-Door Criteria
- Algorithmic Collusion Without Threats
- Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
- The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks
- FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes
- On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation