Papers
Thu 11 Jan 2024
194 papers
- Model-Free Reinforcement Learning for Automated Fluid Administration in Critical CareDeep reinforcement learning methods → RL for clinical treatment and surgery
- Frequency-Time Diffusion with Neural Cellular AutomataDiffusion models → Diffusion foundations and sampling
- Demystifying Variational Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EASYTOOL: Enhancing LLM-based Agents with Concise Tool InstructionLLM agents and tool use → Tool learning and function calling
- Scissorhands: Scrub Data Influence via Connection Sensitivity in NetworksLLM safety and security → Machine unlearning
- Distilling Vision-Language Models on Millions of VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- E2GAN: Efficient Training of Efficient GANs for Image-to-Image TranslationDiffusion models → Diffusion foundations and sampling
- TOFU: A Task of Fictitious Unlearning for LLMsLLM safety and security → Machine unlearning
- Transformers are Multi-State RNNsEfficient LLM inference and serving → Early exit and edge inference
- Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- Secrets of RLHF in Large Language Models Part II: Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GroundingGPT:Language Enhanced Multi-modal Grounding ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- Attention to detail: inter-resolution knowledge distillationKnowledge distillation → Distillation for medical imaging
- Combating Adversarial Attacks with Multi-Agent DebateLLM agents and tool use → Agent threats, guardrails and governance +1
- Spatial-Aware Deep Reinforcement Learning for the Traveling Officer ProblemDeep reinforcement learning methods → RL for autonomous driving and traffic
- Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context LearningLLM safety and security → Backdoor and data poisoning attacks
- Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed EnvironmentsWorld models → Latent predictive world models
- DiffDA: a Diffusion Model for Weather-scale Data AssimilationDiffusion models → Flow matching, time series and science
- Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI FeedbackLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Efficient Image Deblurring Networks based on Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Optimistic Model Rollouts for Pessimistic Offline Policy OptimizationOffline RL and imitation learning from data → Offline RL algorithms +1
- Safe reinforcement learning in uncertain contextsDeep reinforcement learning methods → Safe and constrained RL
- HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Seven Failure Points When Engineering a Retrieval Augmented Generation SystemRetrieval-augmented generation → RAG pipeline design and evaluation
- Interpretable Concept Bottlenecks to Align Reinforcement Learning AgentsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Designing Heterogeneous LLM Agents for Financial Sentiment AnalysisLLM agents and tool use → Financial trading and forecasting agents
- Bounds on the price of feedback for mistake-bounded online learningDeep reinforcement learning methods → RL theory and sample complexity
- Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Erasing Undesirable Influence in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC controlDeep reinforcement learning methods → RL for energy, networks and operations
- Object-Centric Diffusion for Efficient Video EditingDiffusion models → Video generation
- The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process FeedbackLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Graph Q-Learning for Combinatorial OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- REBUS: A Robust Evaluation Benchmark of Understanding SymbolsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance
- Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
- Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image
- Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model
- Cyclic Neural Network
- A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights
- Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
- EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
- Brain Tumor Radiogenomic Classification
- Interpretable deep learning in single-cell omics
- Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance
- QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
- Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques
- When ChatGPT is gone: Creativity reverts and homogeneity persists
- UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems
- TONE: A 3-Tiered ONtology for Emotion analysis
- Advantage of Quantum Neural Networks as Quantum Information Decoders
- MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
- Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
- Sampling and Uniqueness Sets in Graphon Signal Processing
- A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
- Qrlew: Rewriting SQL into Differentially Private SQL
- Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
- A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI
- AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints
- Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning
- YOLO-Former: YOLO Shakes Hand With ViT
- LEGOBench: Scientific Leaderboard Generation Benchmark
- Leveraging Frequency Domain Learning in 3D Vessel Segmentation
- Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
- An Exploratory Assessment of LLM's Potential Toward Flight Trajectory Reconstruction Analysis
- Remixing Music for Hearing Aids Using Ensemble of Fine-Tuned Source Separators
- xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
- Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
- NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
- CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification
- TriNeRFLet: A Wavelet Based Triplane NeRF Representation
- End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2
- Prediction of Cellular Identities from Trajectory and Cell Fate Information
- Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation
- Dubbing for Everyone: Data-Efficient Visual Dubbing using Neural Rendering Priors
- Manipulating Feature Visualizations with Gradient Slingshots
- Extreme Compression of Large Language Models via Additive Quantization
- Gaussian Shadow Casting for Neural Characters
- Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings
- PALP: Prompt Aligned Personalization of Text-to-Image Models
- A Closer Look at AUROC and AUPRC under Class Imbalance
- PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU
- Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
- XGBoost Learning of Dynamic Wager Placement for In-Play Betting on an Agent-Based Model of a Sports Betting Exchange
- Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
- Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
- Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
- Investigating Data Contamination for Pre-training Language Models
- MatSynth: A Modern PBR Materials Dataset
- Fast High Dynamic Range Radiance Fields for Dynamic Scenes
- On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
- Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting
- RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
- LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization
All 194
- GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
- Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios
- Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
- Sea ice detection using concurrent multispectral and synthetic aperture radar imagery
- How does the primate brain combine generative and discriminative computations in vision?
- TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
- Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey
- MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
- A tree-based varying coefficient model
- End-to-end Learnable Clustering for Intent Learning in Recommendation
- Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations
- UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
- A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting
- Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
- An attempt to generate new bridge types from latent space of PixelCNN
- Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
- LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
- Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
- DREQ: Document Re-Ranking Using Entity-based Query Understanding
- Combining Normalizing Flows and Quasi-Monte Carlo
- Time Series Forecasting of HIV/AIDS in the Philippines Using Deep Learning: Does COVID-19 Epidemic Matter?
- SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
- Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation
- How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
- Prompt-based mental health screening from social media text
- EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
- PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
- ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration
- The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
- Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
- LiDAR data acquisition and processing for ecology applications
- Generative Deduplication For Socia Media Data Selection
- YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation
- Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks
- Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models
- Inferring Intentions to Speak Using Accelerometer Data In-the-Wild
- Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials
- Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making
- Revisiting Silhouette Aggregation
- Hallucination Benchmark in Medical Visual Question Answering
- Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation
- Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
- TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window
- Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
- Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
- On the representation and methodology for wide and short range head pose estimation
- CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification
- Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
- Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
- Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
- How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
- Knowledge Translation: A New Pathway for Model Compression
- Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification
- Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
- A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
- GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation
- A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
- Surface Normal Estimation with Transformers
- Consistent Query Answering for Existential Rules with Closed Predicates
- Interpreting and Improving Attention From the Perspective of Large Kernel Convolution
- Cross-modal Retrieval for Knowledge-based Visual Question Answering
- Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
- Zero Resource Cross-Lingual Part Of Speech Tagging
- Segment Boundary Detection via Class Entropy Measurements in Connectionist Phoneme Recognition
- Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
- Dynamic Indoor Fingerprinting Localization based on Few-Shot Meta-Learning with CSI Images
- CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer
- Video Anomaly Detection and Explanation via Large Language Models
- R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation
- HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition
- UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction
- Self Expanding Convolutional Neural Networks
- Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications
- Use of Graph Neural Networks in Aiding Defensive Cyber Operations
- Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
- ConcEPT: Concept-Enhanced Pre-Training for Language Models
- EsaCL: Efficient Continual Learning of Sparse Models
- Root Cause Analysis on Energy Efficiency with Transfer Entropy Flow
- Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
- Towards Conversational Diagnostic AI
- Quantifying Marketing Performance at Channel-Partner Level by Using Marketing Mix Modeling (MMM) and Shapley Value Regression
- On Context-aware Detection of Cherry-picking in News Reporting
- Masked Attribute Description Embedding for Cloth-Changing Person Re-identification
- When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
- MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model
- Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
- Natural Language Processing for Dialects of a Language: A Survey
- DrawTalking: Building Interactive Worlds by Sketching and Speaking
- Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
- Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos
- Scaling Laws for Forgetting When Fine-Tuning Large Language Models
- Nucleus subtype classification using inter-modality learning
- POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation