Papers
Sat 21 Dec 2024
190 papers
- Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image ClassificationLLM safety and security → Machine unlearning
- RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene TexturingDiffusion models → 3D, point cloud and scene generation
- HyperCLIP: Adapting Vision-Language models with HypernetworksMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationLLM reasoning → Multimodal reasoning +1
- Towards Selection and Transition Between Behavior-Based Neural Networks for Automated DrivingEnd-to-end autonomous driving → End-to-end system architecture
- ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map GenerationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- OpenAI o1 System CardLLM reasoning → Reasoning for agents, planning and code +1
- GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN SpaceDiffusion models → 3D, point cloud and scene generation
- From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-MambaState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning AttacksRetrieval-augmented generation → Privacy and security of RAG
- AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articlesRetrieval-augmented generation → Medical and biomedical RAG
- TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Formal Language Knowledge Corpus for Retrieval Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion TransformerDiffusion models → Video generation
- TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented GenerationRetrieval-augmented generation → Time series and agricultural RAG
- Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-Based RobotsLLM safety and security → Jailbreaking
- Mamba-SEUNet: Mamba UNet for Monaural Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- Do Multimodal Language Models Really Understand Direction? A Benchmark for Compass Direction ReasoningLLM reasoning → Spatial and embodied reasoning +1
- REO-VLM: Transforming VLM to Meet Regression Challenges in Earth ObservationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Generalizable 3D Diffusion Framework for Low-Dose and Few-View Cardiac SPECTDiffusion models → Medical imaging and segmentation
- Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionDiffusion models → Inverse problems and image restoration
- Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device ScenariosLLM agents and tool use → Tool learning and function calling
- TrojFlow: Flow Models are Natural Targets for Trojan AttacksLLM safety and security → Backdoor and data poisoning attacks
- Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future DirectionsLLM safety and security → Membership inference attacks
- Speech Retrieval-Augmented Generation without Automatic Speech RecognitionRetrieval-augmented generation → Conversational and speech RAG
- Trusted Mamba Contrastive Network for Multi-View ClusteringState-space sequence models (S4, Mamba) → Vision Mamba backbones
- When Can Proxies Improve the Sample Complexity of Preference Learning?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- The Road to Artificial SuperIntelligence: A Comprehensive Survey of SuperalignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Correcting Large Language Model Behavior via Influence FunctionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Revisiting MLLMs: An In-Depth Analysis of Image Classification AbilitiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal QueriesLLM agents and tool use → Web, search, and research agents
- Application of Multimodal Large Language Models in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- MERaLiON-TextLLM: Cross-Lingual Understanding of Large Language Models in Chinese, Indonesian, Malay, and Singlish
- Distilling Large Language Models for Efficient Clinical Information Extraction
- Underutilization of Syntactic Processing by Chinese Learners of English in Comprehending English Sentences, Evidenced from Adapted Garden-Path Ambiguity Experiment
- Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
- Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting
- BoostMD: Accelerating molecular sampling by leveraging ML force field features from previous time-steps
- Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
- IMVB7t: A Multi-Modal Model for Food Preferences based on Artificially Produced Traits
- Quantum-Like Contextuality in Large Language Models
- Balls-and-Bins Sampling for DP-SGD
- Gradient-Based Non-Linear Inverse Learning
- Enhancing web traffic attacks identification through ensemble methods and feature selection
- DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
- Symplectic Neural Flows for Modeling and Discovery
- SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs
- Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
- DMesh++: An Efficient Differentiable Mesh for Complex Shapes
- Fast Multi-Group Gaussian Process Factor Models
- Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
- Does calibration mean what they say it means; or, the reference class problem rises again
- A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits
- A Protocol for KG Construction Tasks Involving Users
- Optimization Insights into Deep Diagonal Linear Networks
- Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers
- A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
- Training Set Augmentation and Biology-Aware Harmonization Improve Radiomic Models for Lung Cancer Prediction in Indeterminate Nodules
- Leveraging Highly Approximated Multipliers in DNN Inference
- The Master Key Filters Hypothesis: Deep Filters Are General
- Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
- Solving Inverse Problems via Diffusion Optimal Control
- Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
- EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose
- UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
- KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics
- LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo
- Reasoning about Actual Causes in Nondeterministic Domains -- Extended Version
- Enhancing Conflict Resolution in Language Models via Abstract Argumentation
- Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction
- Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model
- Lillama: Large Language Models Compression via Low-Rank Feature Distillation
- From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer
- A Unifying Family of Data-Adaptive Partitioning Algorithms
- FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation
- Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions
- DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering
- From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
- Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
- NILE: Internal Consistency Alignment in Large Language Models
- VAST 1.0: A Unified Framework for Controllable and Consistent Video Generation
- STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
- On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds
- Label Privacy in Split Learning for Large Models with Parameter-Efficient Training
- Transformer-based toxin-protein interaction analysis prioritizes airborne particulate matter components with potential adverse health effects
- Adversarial Attack Against Images Classification based on Generative Adversarial Networks
- Generalizable Articulated Object Perception with Superpoints
- IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
- Internalized Self-Correction for Large Language Models
- PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
- Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
- An explainable operator approximation framework under the guideline of Green's function
- L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
- A Systems Thinking Approach to Algorithmic Fairness
- Deep Learning for Spatio-Temporal Fusion in Land Surface Temperature Estimation: A Comprehensive Survey, Experimental Analysis, and Future Trends
All 190
- Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X
- Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
- Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
- Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts
- Concept Guided Co-salient Object Detection
- OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities
- V"Mean"ba: Visual State Space Models only need 1 hidden dimension
- AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection
- Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances
- Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator
- FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
- Effective and Efficient Representation Learning for Flight Trajectories
- A Meta-Learning Approach to Bayesian Causal Discovery
- Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling
- Breaking the Context Bottleneck on Long Time Series Forecasting
- Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks
- Predictive Monitoring of Black-Box Dynamical Systems
- SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis
- A learning-based approach to stochastic optimal control under reach-avoid constraint
- Metagoals Endowing Self-Modifying AGI Systems with Goal Stability or Moderated Goal Evolution: Toward a Formally Sound and Practical Approach
- CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
- Acquisition of Recursive Possessives and Recursive Locatives in Mandarin
- High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
- Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
- ActPC-Chem: Discrete Active Predictive Coding for Goal-Guided Algorithmic Chemistry as a Potential Cognitive Kernel for Hyperon & PRIMUS-Based AGI
- Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
- Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
- FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
- Prior2Posterior: Model Prior Correction for Long-Tailed Learning
- Towards Environmentally Equitable AI
- DOFEN: Deep Oblivious Forest ENsemble
- From Creation to Curriculum: Examining the role of generative AI in Arts Universities
- Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation
- Text2midi: Generating Symbolic Music from Captions
- LLaVA-SLT: Visual Language Tuning for Sign Language Translation
- Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
- Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
- Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
- Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
- VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
- Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary
- Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding
- Unsupervised Domain Adaptive Person Search via Dual Self-Calibration
- First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network
- Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
- Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets
- Real-time Bangla Sign Language Translator
- Follow-Your-MultiPose: Tuning-Free Multi-Character Text-to-Video Generation via Pose Guidance
- Cross-View Consistency Regularisation for Knowledge Distillation
- ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
- Deep Reinforcement Learning Based Systems for Safety Critical Applications in Aerospace
- Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification
- Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction
- MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
- Learn2Mix: Training Neural Networks Using Adaptive Data Integration
- Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality
- Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation
- Query Quantized Neural SLAM
- Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling
- "ScatSpotter" -- A Dog Poop Detection Dataset
- Chained Tuning Leads to Biased Forgetting
- Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
- Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition
- Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
- Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
- Rethinking Model Redundancy for Low-light Image Enhancement
- Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm
- Research on Violent Text Detection System Based on BERT-fasttext Model
- FACTS: Fine-Grained Action Classification for Tactical Sports
- The Evolving Usage of GenAI by Computing Students
- Sharp Results for Hypothesis Testing with Risk-Sensitive Agents
- CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference
- A Generalizable Anomaly Detection Method in Dynamic Graphs
- Sensitive Image Classification by Vision Transformers
- Mixed geometry information regularization for image multiplicative denoising
- Effective Context Modeling Framework for Emotion Recognition in Conversations
- Has LLM Reached the Scaling Ceiling Yet? Unified Insights into LLM Regularities and Constraints
- Iterative Feature Exclusion Ranking for Deep Tabular Learning
- Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
- THeGCN: Temporal Heterophilic Graph Convolutional Network
- Object Detection Approaches to Identifying Hand Images with High Forensic Values
- LearnLM: Improving Gemini for Learning
- Data-Driven Fairness Generalization for Deepfake Detection
- Patherea: Cell Detection and Classification for the 2020s
- Technical Report: Small Language Model for Japanese Clinical and Medicine
- Identifying Cyberbullying Roles in Social Media
- Transport Quasi-Monte Carlo
- Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
- Knowledge as a Breaking of Ergodicity
- Uncertainty Quantification in Continual Open-World Learning