Papers
Sun 22 Sep 2024
134 papers
- Protein-Mamba: Biological Mamba Models for Protein Function PredictionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Optimizing Active Perception for Learning Simultaneous Viewpoint Selection and Manipulation with Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- Implicit Dynamical Flow Fusion (IDFF) for Generative ModelingDiffusion models → Flow matching, time series and science
- URSimulator: Human-Perception-Driven Prompt Tuning for Enhanced Virtual Urban Renewal via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Backtracking Improves Generation SafetyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Exploiting Exogenous Structure for Sample-Efficient Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- RACOON: An LLM-based Framework for Retrieval-Augmented Column Type Annotation with a Knowledge GraphRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated SensingOffline RL and imitation learning from data → Inverse reinforcement learning
- What Are They Doing? Joint Audio-Speech Co-ReasoningLLM reasoning → Audio-language model reasoning
- Order of Magnitude Speedups for LLM Membership InferenceLLM safety and security → Membership inference attacks
- A is for Absorption: Studying Feature Splitting and Absorption in Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading ComprehensionLLM reasoning → Reasoning benchmarks and evaluation
- Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPFOffline RL and imitation learning from data → Imitation learning methods
- Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception AttacksEnd-to-end autonomous driving → Large language models for driving +1
- Video-XL: Extra-Long Vision Language Model for Hour-Scale Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion ModelDiffusion models → Medical imaging and segmentation
- A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural LanguageDiffusion models → Flow matching, time series and science
- Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic HintsLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- COSBO: Conservative Offline Simulation-Based Policy OptimizationOffline RL and imitation learning from data → Offline RL algorithms +1
- Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature LearningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Prior Knowledge Distillation Network for Face Super-ResolutionKnowledge distillation → General knowledge distillation methods
- The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended RequestsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language ModelsEfficient LLM inference and serving → Prompt and context compression
- MobileViews: A Million-scale and Diverse Mobile GUI DatasetMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie SynopsesLLM reasoning → Multimodal reasoning
- Anisotropic Diffusion Probabilistic Model for Imbalanced Image ClassificationDiffusion models → Diffusion foundations and sampling
- DilateQuant: Accurate and Efficient Diffusion Quantization via Weight DilationDiffusion models → Diffusion foundations and sampling
- An Uncertainty-Aware Generalization Framework for Cardiovascular Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Margin-bounded Confidence Scores for Out-of-Distribution Detection
- SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
- Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph
- Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants
- Linear Independence of Generalized Neurons and Related Functions
- Floating-floating point: a highly accurate number representation with flexible Counting ranges
- SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
- EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars
- Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
- On the Within-class Variation Issue in Alzheimer's Disease Detection
- Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment
- Supply Risk-Aware Alloy Discovery and Design
- Coverage and Bias of Street View Imagery in Mapping the Urban Environment
- EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors
- Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection
- SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
- From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
- LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
- Secrets of Edge-Informed Contrast Maximization for Event-Based Vision
- Patch Ranking: Efficient CLIP by Learning to Rank Local Patches
- Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure
- Can pre-trained language models generate titles for research papers?
- EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Models
- Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
- Explainable AI needs formalization
- A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting
- The X Types -- Mapping the Semantics of the Twitter Sphere
- LLM Bias Evaluation: Gender, Racial, and Age Disparities in Occupational and Crime Scenarios
- AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way
- Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
- Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions
- Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal
- Event-ECC: Asynchronous Tracking of Events with Continuous Optimization
- GlamTry: Advancing Virtual Try-On for High-End Accessories
- Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
- Adaptive Feedforward Gradient Estimation in Neural ODEs
- Why Is Anything Conscious?
- TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps
- Towards Model-Agnostic Dataset Condensation by Heterogeneous Models
- RobotFingerPrint: Unified Gripper Coordinate Space for Multi-Gripper Grasp Synthesis and Transfer
- Beyond Words: Evaluating Large Language Models in Transportation Planning
- SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
- Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits
- GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
- On a measure of intelligence
- Unsupervised Word Discovery: Boundary Detection with Clustering vs. Dynamic Programming
- Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
- One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance
- Can Large Language Models Logically Predict Myocardial Infarction? Evaluation based on UK Biobank Cohort
- Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
- SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration
- On logic and generative AI
- AggregHate: An Efficient Aggregative Approach for the Detection of Hatemongers on Social Platforms
- Low-Light Enhancement Effect on Classification and Detection: An Empirical Study
- Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
- Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
- Scoring rule nets: beyond mean target prediction in multivariate regression
- A High-Performance External Validity Index for Clustering with a Large Number of Clusters
- A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources
- Detection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers
- Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
- A Visualized Malware Detection Framework with CNN and Conditional GAN
- Automotive innovation landscaping using LLM
- OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength
- EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
- Pomo3D: 3D-Aware Portrait Accessorizing and More
- Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
- Dormant: Defending against Pose-driven Human Image Animation
- Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance
All 134
- Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
- Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
- Predicting User Stances from Target-Agnostic Information using Large Language Models
- Frequency-regularized Neural Representation Method for Sparse-view Tomographic Reconstruction
- MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
- Investigating Layer Importance in Large Language Models
- GroupDiff: Diffusion-based Group Portrait Editing
- Sparse Low-Ranked Self-Attention Transformer for Remaining Useful Lifetime Prediction of Optical Fiber Amplifiers
- To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
- J2N -- Nominal Adjective Identification and its Application
- Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
- MANTA -- Model Adapter Native generations that's Affordable
- Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data
- A Feature Engineering Approach for Literary and Colloquial Tamil Speech Classification using 1D-CNN
- Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation
- Self-Supervised Audio-Visual Soundscape Stylization
- Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment
- MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators
- PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects
- Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
- Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
- Scene-Text Grounding for Text-Based Video Question Answering
- MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views
- Sketch 'n Solve: An Efficient Python Package for Large-Scale Least Squares Using Randomized Numerical Linear Algebra
- LLMs are One-Shot URL Classifiers and Explainers
- Reliable and diverse evaluation of LLM medical knowledge mastery
- A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
- HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation
- Opinion Mining on Offshore Wind Energy for Environmental Engineering
- Deep Learning Technology for Face Forgery Detection: A Survey
- ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination
- Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
- Proof Automation with Large Language Models
- Lidar Panoptic Segmentation in an Open World