Papers
Tue 3 Jan 2023
123 papers
- Genetic Imitation Learning by Reward ExtrapolationOffline RL and imitation learning from data → Imitation learning methods
- Benchmarks and Algorithms for Offline Preference-Based Reward LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Contextual Conservative Q-Learning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- RELIANT: Fair Knowledge Distillation for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- Explaining Imitation Learning through FramesOffline RL and imitation learning from data → Imitation learning methods
- Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware DetectorLLM safety and security → Backdoor and data poisoning attacks
- Policy Pre-training for Autonomous Driving via Self-supervised Geometric ModelingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition
- A Fast Feature Point Matching Algorithm Based on IMU Sensor
- Navigating the reporting guideline environment for computational pathology: A review
- DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
- Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
- Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach
- Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
- Machine Learning for Large-Scale Optimization in 6G Wireless Networks
- Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture
- Graph Contrastive Learning for Multi-omics Data
- Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response
- Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
- FATE in AI: Towards Algorithmic Inclusivity and Accessibility
- How to get the most out of Twinned Regression Methods
- Testing High-dimensional Multinomials with Applications to Text Analysis
- Ego-Only: Egocentric Action Detection without Exocentric Transferring
- A Succinct Summary of Reinforcement Learning
- An ensemble-based framework for mispronunciation detection of Arabic phonemes
- Covariate-guided Bayesian mixture model for multivariate time series
- Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations
- Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning
- Measuring tail risk at high-frequency: An L1-regularized extreme value regression approach with unit-root predictors
- Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
- WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
- LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation
- DADAgger: Disagreement-Augmented Dataset Aggregation
- Explainability and Robustness of Deep Visual Classification Models
- oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
- Operator theory, kernels, and Feedforward Neural Networks
- Graphical House Allocation
- Towards Deployable RL -- What's Broken with RL Research and a Potential Fix
- Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric
- Decentralized Gradient Tracking with Local Steps
- Recent Advances on Federated Learning: A Systematic Survey
- TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
- Linear chain conditional random fields, hidden Markov models, and related classifiers
- Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
- Average Is Not Enough: Caveats of Multilingual Evaluation
- Optimizing Agent Collaboration through Heuristic Multi-Agent Planning
- A Tutorial on Parametric Variational Inference
- Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios
- An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation
- Generative appearance replay for continual unsupervised domain adaptation
- Backdoor Attacks Against Dataset Distillation
- PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment
- Large Language Models as Corporate Lobbyists
- A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
- Language Models are Drummers: Drum Composition with Natural Language Pre-Training
- Procedural Humans for Computer Vision
- Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
- I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation
- Rethinking Mobile Block for Efficient Attention-based Models
- MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
- Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
- Causal Discovery for Gene Regulatory Network Prediction
- On the causality-preservation capabilities of generative modelling
- Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards
- KoopmanLab: machine learning for solving complex physics equations
- Conservation Tools: The Next Generation of Engineering--Biology Collaborations
- Understanding Imbalanced Semantic Segmentation Through Neural Collapse
- Cluster-guided Contrastive Graph Clustering Network
- xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
- Neural Point Catacaustics for Novel-View Synthesis of Reflections
- StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
- Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
- Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment
- Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
- PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
- Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
- BS3D: Building-scale 3D Reconstruction from RGB-D Images
- Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise
- A Theory of I/O-Efficient Sparse Neural Network Inference
- A Theory of Human-Like Few-Shot Learning
- Risk-Averse MDPs under Reward Ambiguity
- Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS)
- High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction
- Dissecting Continual Learning a Structural and Data Analysis
- New Information Technologies, Simulation and Automation
- Continual Causal Effect Estimation: Challenges and Opportunities
- Supervised Acoustic Embeddings And Their Transferability Across Languages
- Correlation Loss: Enforcing Correlation between Classification and Localization
- Through-life Monitoring of Resource-constrained Systems and Fleets
- Semi-Structured Object Sequence Encoders
- Vocabulary-informed Zero-shot and Open-set Learning
- A New Perspective to Boost Vision Transformer for Medical Image Classification
- AI in HCI Design and User Experience
- Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
- DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition
- Analogical Inference Enhanced Knowledge Graph Embedding
- Improving Sequential Recommendation Models with an Enhanced Loss Function
- Surveillance Face Anti-spoofing
- Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
- EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator
All 123
- Benchmarking the Robustness of LiDAR Semantic Segmentation Models
- Boosting Neural Networks to Decompile Optimized Binaries
- OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
- e-Inu: Simulating A Quadruped Robot With Emotional Sentience
- Metalearning generalizable dynamics from trajectories
- Differentially Private Federated Clustering over Non-IID Data
- PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
- Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts
- Class-Continuous Conditional Generative Neural Radiance Field
- Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
- Deep Learning and Computational Physics (Lecture Notes)
- Finding the Most Transferable Tasks for Brain Image Segmentation
- Data Valuation Without Training of a Model
- Deep Spectral Q-learning with Application to Mobile Health
- Increasing biases can be more efficient than increasing weights
- Exploring Complex Dynamical Systems via Nonconvex Optimization
- Faster Reinforcement Learning by Freezing Slow States
- Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
- Detecting Information Relays in Deep Neural Networks
- Multidimensional Item Response Theory in the Style of Collaborative Filtering
- Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System
- Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos
- ClusTop: An unsupervised and integrated text clustering and topic extraction framework