Papers
Tue 15 Aug 2023
193 papers
- DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented DialogueLLM agents and tool use → General LLM agent frameworks and benchmarks
- Monte Carlo guided Diffusion for Bayesian linear inverse problemsDiffusion models → Inverse problems and image restoration
- Dynamic Attention-Guided Diffusion for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language ModelsRetrieval-augmented generation → Generation and context integration
- Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationLLM reasoning → Mathematical reasoning
- A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text SupervisionMultimodal LLMs / vision-language models → Medical vision-language models
- SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive DifferenceDiffusion models → Diffusion foundations and sampling
- Link-Context Learning for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language ModelsLLM safety and security → Jailbreaking
- CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D ReconstructionDiffusion models → 3D, point cloud and scene generation
- DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker EmbeddingDiffusion models → Audio, speech and music
- Forward-Backward Reasoning in Large Language Models for Mathematical VerificationLLM reasoning → Mathematical reasoning
- Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion ModelDiffusion models → Audio, speech and music
- Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real WorldOffline RL and imitation learning from data → Real-world robot offline RL
- Fast Machine Unlearning Without Retraining Through Selective Synaptic DampeningLLM safety and security → Machine unlearning
- Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Better Zero-Shot Reasoning with Role-Play PromptingLLM reasoning → Reasoning benchmarks and evaluation
- DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- SGDiff: A Style Guided Diffusion Model for Fashion SynthesisDiffusion models → 3D, point cloud and scene generation
- Generating Personas for Games with Multimodal Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
- Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD
- Mono/Multi-material Characterization Using Hyperspectral Images and Multi-Block Non-Negative Matrix Factorization
- A Robust Adaptive Workload Orchestration in Pure Edge Computing
- Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation
- DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion
- Inverse Lithography Physics-informed Deep Neural Level Set for Mask Optimization
- Detection of ChatGPT Fake Science with the xFakeSci Learning Algorithm
- IoT Data Trust Evaluation via Machine Learning
- Improved mirror ball projection for more accurate merging of multiple camera outputs and process monitoring
- ERA*: Enhanced Relaxed A* algorithm for Solving the Shortest Path Problem in Regular Grid Maps
- A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
- Advancements in Repetitive Action Counting: Joint-Based PoseRAC Model With Improved Performance
- Analyzing the Capabilities of Nature-inspired Feature Selection Algorithms in Predicting Student Performance
- Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments
- A physics-informed machine learning model for reconstruction of dynamic loads
- CMISR: Circular Medical Image Super-Resolution
- KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
- Temporal Interest Network for User Response Prediction
- Tightest Admissible Shortest Path
- Improving CTC-AED model with integrated-CTC and auxiliary loss regularization
- Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
- Decentralized Graph Neural Network for Privacy-Preserving Recommendation
- Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks
- Max-affine regression via first-order methods
- A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes
- The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Models
- Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation
- Simple online learning with consistent oracle
- Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference
- Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
- Regret Lower Bounds in Multi-agent Multi-armed Bandit
- Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
- Domain Adaptation for Code Model-based Unit Test Case Generation
- Using Artificial Populations to Study Psychological Phenomena in Neural Models
- Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks
- Sophisticated Learning: A novel algorithm for active learning during model-based planning
- End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations
- Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition
- Active Inverse Learning in Stackelberg Trajectory Games
- Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction
- GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity
- BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis
- A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models
- Anaphoric Structure Emerges Between Neural Networks
- An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
- "Beware of deception": Detecting Half-Truth and Debunking it through Controlled Claim Editing
- MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
- Teach LLMs to Personalize -- An Approach inspired by Writing Education
- Boosting Cross-Quality Face Verification using Blind Face Restoration
- APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
- Leveraging Symmetries in Pick and Place
- Portfolio Selection via Topological Data Analysis
- CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
- Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
- Relightable and Animatable Neural Avatar from Sparse-View Video
- Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
- Correct and Optimal: the Regular Expression Inference Challenge
- Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
- Memory-and-Anticipation Transformer for Online Action Understanding
- EduSAT: A Pedagogical Tool for Theory and Applications of Boolean Satisfiability
- A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
- On regularized Radon-Nikodym differentiation
- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
- The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
- Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
- The 10 Million ANA Avatar XPRIZE Competition Advanced Immersive Telepresence Systems
- Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
- SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification
- Emotion Embeddings unicodex2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets
- Brain-inspired Computational Intelligence via Predictive Coding
- ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces
- Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
- Impression-Aware Recommender Systems
- Dyadic Reinforcement Learning
- Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
- REFORMS: Reporting Standards for Machine Learning Based Science
- Learning Better Keypoints for Multi-Object 6DoF Pose Estimation
All 193
- Cerberus: A Deep Learning Hybrid Model for Lithium-Ion Battery Aging Estimation and Prediction Based on Relaxation Voltage Curves
- Deep reinforcement learning for process design: Review and perspective
- The Transient Cost of Learning in Queueing Systems
- ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
- Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces
- Fairness and Privacy in Federated Learning and Their Implications in Healthcare
- Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
- Handwritten Stenography Recognition and the LION Dataset
- Adaptive Noise Covariance Estimation under Colored Noise using Dynamic Expectation Maximization
- Learning to Identify Critical States for Reinforcement Learning from Videos
- Informed Named Entity Recognition Decoding for Generative Language Models
- Future Video Prediction from a Single Frame for Video Anomaly Detection
- Learning Image Deraining Transformer Network with Dynamic Dual Self-Attention
- Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
- An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
- Enhancing Visually-Rich Document Understanding via Layout Structure Modeling
- Hierarchical generative modelling for autonomous robots
- A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection
- MOLE: MOdular Learning FramEwork via Mutual Information Maximization
- Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos
- Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
- Whale Detection Enhancement through Synthetic Satellite Images
- NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
- Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
- CASPNet++: Joint Multi-Agent Motion Prediction
- Exploiting Sparsity in Automotive Radar Object Detection Networks
- ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
- Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods
- Identity-Consistent Aggregation for Video Object Detection
- Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression
- UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
- Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
- Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
- Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
- Flashpoints Signal Hidden Inherent Instabilities in Land-Use Planning
- SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
- Parametric entropy based Cluster Centriod Initialization for k-means clustering of various Image datasets
- Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
- Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
- A Review of Adversarial Attacks in Computer Vision
- Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
- Gradient-Based Post-Training Quantization: Challenging the Status Quo
- Attention Is Not All You Need Anymore
- From Commit Message Generation to History-Aware Commit Message Completion
- SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR
- Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
- EQ-Net: Elastic Quantization Neural Networks
- Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval
- Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping
- LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation
- A Survey on Model Compression for Large Language Models
- Backpropagation Path Search On Adversarial Transferability
- Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
- Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
- A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy
- Self-supervised Hypergraphs for Learning Multiple World Interpretations
- GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis
- Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
- Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection
- VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022
- AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model
- Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
- ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving
- High-Probability Risk Bounds via Sequential Predictors
- AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
- Story Visualization by Online Text Augmentation with Context Memory
- Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models
- Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
- Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels
- Action Class Relation Detection and Classification Across Multiple Video Datasets
- A User-Centered Evaluation of Spanish Text Simplification
- SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory
- Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
- FLAME-based Multi-View 3D Face Reconstruction
- 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
- Vision-Language Dataset Distillation
- On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing
- CALYPSO: LLMs as Dungeon Masters' Assistants
- Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
- Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts
- AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
- Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
- Improved Region Proposal Network for Enhanced Few-Shot Object Detection
- Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation
- FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction
- Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
- Finding Stakeholder-Material Information from 10-K Reports using Fine-Tuned BERT and LSTM Models
- Nonlinearity, Feedback and Uniform Consistency in Causal Structural Learning
- Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach
- Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
- Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
- Data Race Detection Using Large Language Models
- ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection