Papers
Tue 30 Jul 2024
213 papers
- VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop CorrectionsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Informed Correctors for Discrete Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Diffusion-Based Generation of Neural Activity from Disentangled Latent CodesDiffusion models → Diffusion foundations and sampling
- Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative ModelsDiffusion models → Diffusion foundations and sampling
- Self-supervised Multi-future Occupancy Forecasting for Autonomous DrivingWorld models → World models for autonomous driving
- Palu: Compressing KV-Cache with Low-Rank ProjectionEfficient LLM inference and serving → KV cache optimization
- Accelerating Large Language Model Inference with Self-Supervised Early ExitsEfficient LLM inference and serving → Early exit and edge inference
- ThinK: Thinner Key Cache by Query-Driven PruningLLM reasoning → Test-time compute and efficient thinking +1
- Add-SD: Rational Generation without Manual ReferenceDiffusion models → Image generation, text-to-image and editing
- AI-Assisted Generation of Difficult Math QuestionsLLM reasoning → Mathematical reasoning
- GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- How to Choose a Reinforcement-Learning AlgorithmDeep reinforcement learning methods → Deep RL algorithms and representations
- ThinkRepair: Self-Directed Automated Program RepairLLM reasoning → Reasoning for agents, planning and code
- MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule NetworkState-space sequence models (S4, Mamba) → Physiological signal modeling
- Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction AmplificationLLM agents and tool use → Agent threats, guardrails and governance
- Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial AttacksDiffusion models → Image generation, text-to-image and editing
- Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation BalanceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Adapting Safe-for-Work Classifier for Malaysian Language Text: Enhancing Alignment in LLM-Ops FrameworkLLM safety and security → Safety alignment, refusal and guardrails
- Mimicking the Mavens: Agent-based Opinion Synthesis and Emotion Prediction for Social Media InfluencersLLM agents and tool use → Social simulation and multi-agent debate
- Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
- Image Re-Identification: Where Self-supervision Meets Vision-Language LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual KnowledgeLLM reasoning → Reasoning benchmarks and evaluation
- Machine Unlearning in Generative AI: A SurveyLLM safety and security → Machine unlearning
- Boosting Efficiency in Task-Agnostic Exploration through Causal KnowledgeWorld models → Latent dynamics models and model-based RL
- Interpreting and Mitigating Hallucination in MLLMs through Multi-agent DebateLLM agents and tool use → Medical and scientific domain agents
- A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer DecoderEfficient LLM inference and serving → KV cache optimization
- Effects of a Prompt Engineering Intervention on Undergraduate Students' AI Self-Efficacy, AI Knowledge and Prompt Engineering Ability: A Mixed Methods Study
- Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots
- Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study
- Lyrics Transcription for Humans: A Readability-Aware Benchmark
- Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
- LLMs for Enhanced Agricultural Meteorological Recommendations
- Abstractive summarization from Audio Transcription
- Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective
- On Biases in a UK Biobank-based Retinal Image Classification Model
- WebApp1K: A Practical Code-Generation Benchmark for Web App Development
- Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
- Bug Analysis Towards Bug Resolution Time Prediction
- GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks
- TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying
- Towards an Integrated Performance Framework for Fire Science and Management Workflows
- Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
- TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
- AI methods for approximate compiling of unitaries
- DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
- NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements
- Distribution-Aware Replay for Continual MRI Segmentation
- LoRaWAN Based Dynamic Noise Mapping with Machine Learning for Urban Noise Enforcement
- Rolling in the deep of cognitive and AI biases
- Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques
- GenRec: Generative Sequential Recommendation with Large Language Models
- Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator
- Amelia: A Large Dataset and Benchmark for Airport Surface Movement Forecasting
- Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
- Deduction Game Framework and Information Set Entropy Search
- DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
- AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning
- Decomposed Prompting to Answer Questions on a Course Discussion Board
- Extending choice assessments to choice functions: An algorithm for computing the natural extension
- Understanding Public Safety Trends in Calgary through data mining
- Event-Arguments Extraction Corpus and Modeling using BERT for Arabic
- Private Collaborative Edge Inference via Over-the-Air Computation
- PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds
- Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
- Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning
- Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information
- MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
- Computational music analysis from first principles
- Zero Shot Health Trajectory Prediction Using Transformer
- Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
- Entropy, Thermodynamics and the Geometrization of the Language Model
- The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines
- Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation
- Matting by Generation
- CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning
- Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
- XHand: Real-time Expressive Hand Avatar
- MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
- From Feature Importance to Natural Language Explanations Using LLMs with RAG
- Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation
- PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter
- Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks
- MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions
- Learning Ordinality in Semantic Segmentation
- An Effective Dynamic Gradient Calibration Method for Continual Learning
- Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation
- An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems
- dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
- EAR: Edge-Aware Reconstruction of 3-D vertebrae structures from bi-planar X-ray images
- Complete Approximations of Incomplete Queries
- UniProcessor: A Text-induced Unified Low-level Image Processor
- SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition
- The Realizability of Revision and Contraction Operators in Epistemic Spaces
- What Are Good Positional Encodings for Directed Graphs?
- Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation
- Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
- Automated Review Generation Method Based on Large Language Models
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- Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge
- Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
- What is YOLOv5: A deep look into the internal features of the popular object detector
- Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks
- Effective Black Box Testing of Sentiment Analysis Classification Networks
- A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
- S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
- Automatic Die Studies for Ancient Numismatics
- A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety
- Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction
- Mean of Means: A 10-dollar Solution for Human Localization with Calibration-free and Unconstrained Camera Settings
- A Comparative Study of Neural Surface Reconstruction for Scientific Visualization
- Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations
- DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers
- NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
- Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness
- DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction Attention
- Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
- How to Measure the Intelligence of Large Language Models?
- DyGKT: Dynamic Graph Learning for Knowledge Tracing
- Adding Circumscription to Decidable Fragments of First-Order Logic: A Complexity Rollercoaster
- WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection
- Robust Load Prediction of Power Network Clusters Based on Cloud-Model-Improved Transformer
- ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
- AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
- SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting
- How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course
- Be aware of overfitting by hyperparameter optimization!
- Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem
- Interpretable Pre-Trained Transformers for Heart Time-Series Data
- HyperMM : Robust Multimodal Learning with Varying-sized Inputs
- Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy
- Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Bases
- Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
- JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources
- Re-localization acceleration with Medoid Silhouette Clustering
- Meltemi: The first open Large Language Model for Greek
- Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions
- Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
- Efficient Pareto Manifold Learning with Low-Rank Structure
- Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach
- Autogenic Language Embedding for Coherent Point Tracking
- Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging
- SceneTeller: Language-to-3D Scene Generation
- Exploring Loss Landscapes through the Lens of Spin Glass Theory
- Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
- Cocobo: Exploring Large Language Models as the Engine for End-User Robot Programming
- Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection
- PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
- Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
- Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography
- Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
- Detecting Causality in the Frequency Domain with Cross-Mapping Coherence
- Boosting Audio Visual Question Answering via Key Semantic-Aware Cues
- CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence
- RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
- The Susceptibility of Example-Based Explainability Methods to Class Outliers
- Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
- A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
- Rethinking the Function of Neurons in KANs
- 3D-GRES: Generalized 3D Referring Expression Segmentation
- ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task
- DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis
- What makes for good morphology representations for spatial omics?
- Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search
- Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian
- FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
- No learning rates needed: Introducing SALSA -- Stable Armijo Line Search Adaptation
- Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
- Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer
- Effectively Leveraging CLIP for Generating Situational Summaries of Images and Videos
- Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
- Autonomous Improvement of Instruction Following Skills via Foundation Models
- Spiking-DD: Neuromorphic Event Camera based Driver Distraction Detection with Spiking Neural Network
- SharkTrack: an accurate, generalisable software for streamlining shark and ray underwater video analysis
- Decoding Linguistic Representations of Human Brain
- Accelerated forward-backward and Douglas-Rachford splitting dynamics
- The Entrapment Problem in Random Walk Decentralized Learning
- Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire Adaptation with GPT-Based Translation Quality Evaluation
- Investigating Sparsity in Recurrent Neural Networks
- Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning
- Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
- Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images
- HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction
- EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos
- Enhancing Agricultural Machinery Management through Advanced LLM Integration
- Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
- Image-based Detection of Segment Misalignment in Multi-mirror Satellites using Transfer Learning
- Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings
- Comparison of Large Language Models for Generating Contextually Relevant Questions
- Monocular Human-Object Reconstruction in the Wild
- Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering
- Invariant deep neural networks under the finite group for solving partial differential equations
- CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
- Survey of Design Paradigms for Social Robots
- DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
- Neuromorphic on-chip reservoir computing with spiking neural network architectures
- StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
- HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
- Contrastive Feedback Mechanism for Simultaneous Speech Translation
- DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis
- High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE
- Markers Identification for Relative Pose Estimation of an Uncooperative Target
- Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
- Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
- A federated large language model for long-term time series forecasting
- Restoring Real-World Degraded Events Improves Deblurring Quality
- Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
- Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
- Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image
- Distribution Learning for Molecular Regression
- Relaxed Equivariant Graph Neural Networks