Papers
Mon 6 Jun 2022
193 papers
- RORL: Robust Offline Reinforcement Learning via Conservative SmoothingOffline RL and imitation learning from data → Offline RL algorithms
- Blended Latent DiffusionMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of ExpertsMixture-of-experts → Multimodal MoE models
- PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN ModelsLLM safety and security → Watermarking generated content and models
- Making Large Language Models Better Reasoners with Step-Aware VerifierLLM reasoning → Reasoning benchmarks and evaluation
- CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
- Balancing Profit, Risk, and Sustainability for Portfolio Management
- CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
- Exploring Chemical Space with Score-based Out-of-distribution Generation
- Learning Generalized Wireless MAC Communication Protocols via Abstraction
- Memory-efficient model-based deep learning with convergence and robustness guarantees
- Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM
- Specification-Guided Learning of Nash Equilibria with High Social Welfare
- Compilation and Optimizations for Efficient Machine Learning on Embedded Systems
- Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea pressure vessel
- Early Abnormal Detection of Sewage Pipe Network: Bagging of Various Abnormal Detection Algorithms
- Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning
- On the Convergence of Optimizing Persistent-Homology-Based Losses
- Predicting Electricity Infrastructure Induced Wildfire Risk in California
- Neuro-Symbolic Procedural Planning with Commonsense Prompting
- Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
- Tight basis cycle representatives for persistent homology of large data sets
- Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
- Schema-Guided Event Graph Completion
- Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
- 8-bit Numerical Formats for Deep Neural Networks
- Training Subset Selection for Weak Supervision
- Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
- Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis
- Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
- Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
- Goal-Space Planning with Subgoal Models
- Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics
- Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis
- A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs
- Conditional Seq2Seq model for the time-dependent two-level system
- Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
- Graph Rationalization with Environment-based Augmentations
- Norm Participation Grounds Language
- Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
- SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
- A Human-Centric Take on Model Monitoring
- Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning
- Efficient entity-based reinforcement learning
- GLF-CR: SAR-Enhanced Cloud Removal with Global-Local Fusion
- A Bird's-Eye Tutorial of Graph Attention Architectures
- A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
- On Efficient Approximate Queries over Machine Learning Models
- Researching Alignment Research: Unsupervised Analysis
- Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction
- Invertible Sharpening Network for MRI Reconstruction Enhancement
- EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
- Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
- Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission
- Quantum Neural Network Classifiers: A Tutorial
- FedNST: Federated Noisy Student Training for Automatic Speech Recognition
- Mixed Graph Contrastive Network for Semi-Supervised Node Classification
- Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach
- Machine learning models for determination of weldbead shape parameters for gas metal arc welded T-joints -- A comparative study
- FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
- Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation
- Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
- Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes
- GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
- Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
- Volumetric Disentanglement for 3D Scene Manipulation
- Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
- The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
- Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities
- Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
- Robust Calibration with Multi-domain Temperature Scaling
- CORE: Consistent Representation Learning for Face Forgery Detection
- Understanding Self-Directed Learning in an Online Laboratory
- Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI
- Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system
- People Tracking in Panoramic Video for Guiding Robots
- Global Mixup: Eliminating Ambiguity with Clustering
- Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
- Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks
- Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
- Scene Aware Person Image Generation through Global Contextual Conditioning
- Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
- FuSS: Fusing Superpixels for Improved Segmentation Consistency
- Is a Modular Architecture Enough?
- Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
- Human Behavior Recognition Method Based on CEEMD-ES Radar Selection
- Perturbation Learning Based Anomaly Detection
- Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
- Learning to Ask Like a Physician
- Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
- Separable Self-attention for Mobile Vision Transformers
- Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
- Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
- Effects of Safety State Augmentation on Safe Exploration
- Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Audio-Visual Hearing Aids
- Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning
- Emergent specialization from participation dynamics and multi-learner retraining
- Robust Pareto Set Identification with Contaminated Bandit Feedback
- Learning with Capsules: A Survey
All 193
- TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning
- Pseudo-Hamiltonian Neural Networks with State-Dependent External Forces
- Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
- A Regret-Variance Trade-Off in Online Learning
- Abstraction-Refinement for Hierarchical Probabilistic Models
- Crust Macrofracturing as the Evidence of the Last Deglaciation
- Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
- Policy Optimization for Markov Games: Unified Framework and Faster Convergence
- Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations
- VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
- Generalized Federated Learning via Sharpness Aware Minimization
- Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
- Real-World Image Super-Resolution by Exclusionary Dual-Learning
- What do tokens know about their characters and how do they know it?
- CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
- Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
- [Reproducibility Report] Explainable Deep One-Class Classification
- Pessimistic Off-Policy Optimization for Learning to Rank
- Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
- Certified Robustness in Federated Learning
- Sparse Bayesian Learning for Complex-Valued Rational Approximations
- Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE
- Transfer Learning based Search Space Design for Hyperparameter Tuning
- Single pixel imaging at high pixel resolutions
- Learning to Control under Time-Varying Environment
- BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
- NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
- A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding
- Automatically Drafting Ontologies from Competency Questions with FrODO
- Easy, adaptable and high-quality Modelling with domain-specific Constraint Patterns
- An Optimal Transport Approach to Personalized Federated Learning
- Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
- Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
- Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
- What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
- Universal Photometric Stereo Network using Global Lighting Contexts
- Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
- Class Prior Estimation under Covariate Shift: No Problem?
- Spam Detection Using BERT
- A computational psycholinguistic evaluation of the syntactic abilities of Galician BERT models at the interface of dependency resolution and training time
- Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
- Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study
- Tackling covariate shift with node-based Bayesian neural networks
- Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
- Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors
- Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations
- mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
- Slim-neck by GSConv: A lightweight-design for real-time detector architectures
- Evaluating the Predictive Performance of Positive-Unlabelled Classifiers: a brief critical review and practical recommendations for improvement
- MorisienMT: A Dataset for Mauritian Creole Machine Translation
- Towards Responsible AI for Financial Transactions
- Fast Adversarial Training with Adaptive Step Size
- Embrace the Gap: VAEs Perform Independent Mechanism Analysis
- Is More Data All You Need? A Causal Exploration
- Image Protection for Robust Cropping Localization and Recovery
- A Simple yet Effective Method for Graph Classification
- Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks
- Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity
- Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference
- A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
- Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
- Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions
- Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL
- BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement
- CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction
- Sports Re-ID: Improving Re-Identification Of Players In Broadcast Videos Of Team Sports
- Markovian Interference in Experiments
- Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
- Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
- Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans
- Knowledge-based Document Classification with Shannon Entropy
- Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
- Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
- Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
- Invariant Grounding for Video Question Answering
- Finite-Sample Maximum Likelihood Estimation of Location
- Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
- Anomaly Detection with Test Time Augmentation and Consistency Evaluation
- Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
- Contrastive Graph Multimodal Model for Text Classification in Videos
- WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images
- Complex Locomotion Skill Learning via Differentiable Physics
- Unifying Summary Statistic Selection for Approximate Bayesian Computation
- OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
- Hashing Learning with Hyper-Class Representation
- Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles
- MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
- JigsawHSI: a network for Hyperspectral Image classification
- Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
- Evaluation-oriented Knowledge Distillation for Deep Face Recognition
- Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation
- HIFI-Net: A Novel Network for Enhancement to Underwater Images
- Pretrained Models for Multilingual Federated Learning