Papers
Sun 21 Jan 2024
109 papers
- Large Language Model based Multi-Agents: A Survey of Progress and ChallengesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Solving Offline Reinforcement Learning with Decision Tree RegressionOffline RL and imitation learning from data → Offline RL algorithms
- Freely Long-Thinking Transformer (FraiLT)LLM reasoning → Test-time compute and efficient thinking
- Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Over-Reasoning and Redundant Calculation of Large Language ModelsLLM reasoning → Mathematical reasoning
- Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinementMultimodal LLMs / vision-language models → Medical vision-language models
- LLMRA: Multi-modal Large Language Model based Restoration AssistantMultimodal LLMs / vision-language models → Image editing and quality assessment
- Visual Imitation Learning with Calibrated Contrastive RepresentationOffline RL and imitation learning from data → Imitation learning methods
- Interactive AI with Retrieval-Augmented Generation for Next Generation NetworkingRetrieval-augmented generation → Agentic RAG, agents and memory
- MoMA: Model-based Mirror Ascent for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle AvoidanceOffline RL and imitation learning from data → Imitation learning methods
- Confidence Preservation Property in Knowledge Distillation AbstractionsLLM safety and security → Safety alignment, refusal and guardrails
- Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
- Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN
- Discussion of Loop Expansion and Introduction of Series Cutting Functions to Local Potential Approximation: Complexity Analysis Using Green's Functions, Cutting Of Nth-Order Social Interactions For Progressive Safety
- Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures
- Quantum Inspired Chaotic Salp Swarm Optimization for Dynamic Optimization
- Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer
- MADRL-based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks
- Training microrobots to swim by a large language model
- Detection of Auditory Brainstem Response Peaks Using Image Processing Techniques in Infants with Normal Hearing Sensitivity
- Fuzzy Logic-Based System for Brain Tumour Detection and Classification
- Agreement Technologies for Coordination in Smart Cities
- Emergent Dominance Hierarchies in Reinforcement Learning Agents
- Instructional Fingerprinting of Large Language Models
- Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks
- What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
- Text-to-Image Cross-Modal Generation: A Systematic Review
- Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
- In-context Learning with Retrieved Demonstrations for Language Models: A Survey
- Efficient local linearity regularization to overcome catastrophic overfitting
- The State of Computer Vision Research in Africa
- Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
- Graph Edits for Counterfactual Explanations: A comparative study
- textttimmrax: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX
- Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
- Understanding the Generalization Benefits of Late Learning Rate Decay
- TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks
- Learning to Maximize Gains From Trade in Small Markets
- Differentially-Private Multi-Tier Federated Learning
- Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
- Quantum Architecture Search with Unsupervised Representation Learning
- Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis
- Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
- Enhancing selectivity using Wasserstein distance based reweighing
- VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability
- Taxi dispatching strategies with compensations
- Hierarchical Prompts for Rehearsal-free Continual Learning
- How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
- Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy
- EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
- Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training
- CaBuAr: California Burned Areas dataset for delineation
- Exploring the Truth and Beauty of Theory Landscapes with Machine Learning
- TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning
- MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
- Enhancing Recommendation Diversity by Re-ranking with Large Language Models
- CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
- With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation
- Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis
- Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals
- Edge-Enabled Real-time Railway Track Segmentation
- MapChange: Enhancing Semantic Change Detection with Temporal-Invariant Historical Maps Based on Deep Triplet Network
- HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores
- Towards Better Inclusivity: A Diverse Tweet Corpus of English Varieties
- ColorVideoVDP: A visual difference predictor for image, video and display distortions
- Abstract Weighted Based Gradual Semantics in Argumentation Theory
- LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction
- Exploring Missing Modality in Multimodal Egocentric Datasets
- Task-specific regularization loss towards model calibration for reliable lung cancer detection
- Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search
- Frost Prediction Using Machine Learning Methods in Fars Province
- AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology
- Inter-Domain Mixup for Semi-Supervised Domain Adaptation
- Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations
- Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
- Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis
- General Flow as Foundation Affordance for Scalable Robot Learning
- Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
- Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
- Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition
- Exploring Diffusion Time-steps for Unsupervised Representation Learning
- Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain
- Supervised Embedded Methods for Hyperspectral Band Selection
- Double-Bounded Optimal Transport for Advanced Clustering and Classification
- S3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
- Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
- SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field
- Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
- PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs
- MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
- Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
- UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
- Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset
- MedLM: Exploring Language Models for Medical Question Answering Systems
- Using Large Language Model for End-to-End Chinese ASR and NER
- Language Models as Hierarchy Encoders
- Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion
- Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot
All 109
- Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
- Revolutionizing API Documentation through Summarization
- PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
- ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles
- ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution
- Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations
- Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
- A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
- Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control