Papers
Sat 10 Dec 2022
74 papers
- Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation LearningKnowledge distillation → Detection and dense prediction distillation
- AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and EducationEnd-to-end autonomous driving → Cooperative and V2X driving
- LEAD: Liberal Feature-based Distillation for Dense RetrievalKnowledge distillation → Knowledge distillation for LLMs
- REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Thinking Fast and Slow in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- MAGVIT: Masked Generative Video TransformerWorld models → Video-generation world models and simulators
- Uniform Masking Prevails in Vision-Language PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SMILE: Scaling Mixture-of-Experts with Efficient Bi-level RoutingMixture-of-experts → Expert routing strategies
- A deep learning approach for adaptive zoning
- Deep learning approach for interruption attacks detection in LEO satellite networks
- OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
- QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks
- Deep Learning for Inertial Sensor Alignment
- Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification
- Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
- Selected Trends in Artificial Intelligence for Space Applications
- Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
- CamoFormer: Masked Separable Attention for Camouflaged Object Detection
- How to select an objective function using information theory
- Forecasting formation of a Tropical Cyclone Using Reanalysis Data
- What's Wrong with the Absolute Trajectory Error?
- Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access
- Source-free Depth for Object Pop-out
- Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation
- Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin
- Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution
- Elixir: Train a Large Language Model on a Small GPU Cluster
- Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
- An approach to robust ICP initialization
- Effects of Spectral Normalization in Multi-agent Reinforcement Learning
- Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification
- Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
- HumanGen: Generating Human Radiance Fields with Explicit Priors
- A smart resource management mechanism with trust access control for cloud computing environment
- Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation
- Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
- Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning
- Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning
- A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network
- Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
- Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
- Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection
- Position Embedding Needs an Independent Layer Normalization
- When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation
- Online Real-time Learning of Dynamical Systems from Noisy Streaming Data: A Koopman Operator Approach
- Image augmentation with conformal mappings for a convolutional neural network
- Causality-Aware Local Interpretable Model-Agnostic Explanations
- MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
- A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
- Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics
- Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
- Structured information extraction from complex scientific text with fine-tuned large language models
- Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
- Neuromorphic Computing and Sensing in Space
- NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
- QESK: Quantum-based Entropic Subtree Kernels for Graph Classification
- Progressive Multi-view Human Mesh Recovery with Self-Supervision
- Snapshot Multispectral Imaging Using a Diffractive Optical Network
- Information-Preserved Blending Method for Forward-Looking Sonar Mosaicing in Non-Ideal System Configuration
- OpenD: A Benchmark for Language-Driven Door and Drawer Opening
- Lookahead Pathology in Monte-Carlo Tree Search
- Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
- Artificial Text Detection with Multiple Training Strategies
- Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto
- Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy
- Expanding Knowledge Graphs with Humans in the Loop
- Information retrieval in single cell chromatin analysis using TF-IDF transformation methods
- State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
- ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
- Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation
- Cost-aware Duration Prediction for Software Upgrades in Datacenters
- Algorithmic progress in computer vision
- Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
- Stochastic Optimization for Spectral Risk Measures