Papers
Sun 14 May 2023
89 papers
- SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Watermarking Text Generated by Black-Box Language ModelsLLM safety and security → Watermarking generated content and models
- Learning Non-linguistic Skills without Sacrificing Linguistic ProficiencyLLM reasoning → Mathematical reasoning
- Diffusion Models for Imperceptible and Transferable Adversarial AttackDiffusion models → Robustness, privacy and adversarial aspects
- Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI InteractionLLM agents and tool use → GUI and mobile agents
- Inverse Reinforcement Learning With Constraint RecoveryOffline RL and imitation learning from data → Inverse reinforcement learning
- Towards Understanding and Improving Knowledge Distillation for Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
- Meta-DM: Applications of Diffusion Models on Few-Shot LearningDiffusion models → Diffusion foundations and sampling
- Improving Defensive Distillation using Teacher AssistantKnowledge distillation → Federated, robust and private distillation
- On enhancing the robustness of Vision Transformers: Defensive DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- Graph Neural Networks-Based User Pairing in Wireless Communication Systems
- Multi-View Interactive Collaborative Filtering
- Hyper-automation-The next peripheral for automation in IT industries
- Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for Drone-Based Surveillance System
- Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
- FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
- Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning
- Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks
- ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
- Decoupled Graph Neural Networks for Large Dynamic Graphs
- SmartProbe: A Virtual Moderator for Market Research Surveys
- Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection
- MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
- Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
- Introducing Tales of Tribute AI Competition
- Addressing Heterophily in Node Classification with Graph Echo State Networks
- Combining geolocation and height estimation of objects from street level imagery
- A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field
- Skeleton Graph-based Ultrasound-CT Non-rigid Registration
- DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement
- NLP-based Cross-Layer 5G Vulnerabilities Detection via Fuzzing Generated Run-Time Profiling
- Learning Structure Aware Deep Spectral Embedding
- Learning to Generalize for Cross-domain QA
- A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment
- A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
- A Comprehensive Survey on Segment Anything Model for Vision and Beyond
- Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
- Is end-to-end learning enough for fitness activity recognition?
- TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction
- CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus
- Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
- ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
- Croatian Film Review Dataset (Cro-FiReDa): A Sentiment Annotated Dataset of Film Reviews
- Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
- Latent Processes Identification From Multi-View Time Series
- Altered Topological Properties of Functional Brain Network Associated with Alzheimer's Disease
- STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
- ParaLS: Lexical Substitution via Pretrained Paraphraser
- Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation
- Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
- Semantic Communication of Learnable Concepts
- Theta sequences as eligibility traces: a biological solution to credit assignment
- Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery
- MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
- The Structure and Dynamics of Knowledge Graphs, with Superficiality
- Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors
- Quantum Operation of Affective Artificial Intelligence
- Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
- Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods
- Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling
- A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content
- Conditional mean embeddings and optimal feature selection via positive definite kernels
- Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
- A Theory of General Difference in Continuous and Discrete Domain
- AI for Agile development: a Meta-Analysis
- Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
- Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback
- Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images
- Optimization of Residential Demand Response Program Cost with Consideration for Occupants Thermal Comfort and Privacy
- Analyzing Compression Techniques for Computer Vision
- Orthogonal polynomial approximation and Extended Dynamic Mode Decomposition in chaos
- HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
- A Survey of Federated Evaluation in Federated Learning
- Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection
- Improving End-to-End SLU performance with Prosodic Attention and Distillation
- Helping Visually Impaired People Take Better Quality Pictures
- Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
- Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
- Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering
- CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning
- SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency
- A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
- Towards Understanding the Generalization of Graph Neural Networks
- Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario
- CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
- Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
- Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders
- DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs
- REMAST: Real-time Emotion-based Music Arrangement with Soft Transition