Papers
Tue 5 Jul 2022
192 papers
- Offline RL Policies Should be Trained to be AdaptiveOffline RL and imitation learning from data → Offline RL algorithms
- Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- Tackling Real-World Autonomous Driving using Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- An Empirical Study of Implicit Regularization in Deep Offline RLOffline RL and imitation learning from data → Offline RL algorithms
- PKD: General Distillation Framework for Object Detectors via Pearson Correlation CoefficientKnowledge distillation → Detection and dense prediction distillation
- Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative ModelsLLM reasoning → Multimodal reasoning
- ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image SegmentationKnowledge distillation → Distillation for medical imaging
- Deep Reinforcement Learning Approach for Trading Automation in The Stock Market
- Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion
- Applying data technologies to combat AMR: current status, challenges, and opportunities on the way forward
- Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets
- Decentralized scheduling through an adaptive, trading-based multi-agent system
- Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets
- Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks
- Hierarchical Average Precision Training for Pertinent Image Retrieval
- Runtime Analysis for Permutation-based Evolutionary Algorithms
- AVDDPG: Federated reinforcement learning applied to autonomous platoon control
- Softmax-free Linear Transformers
- Empirical Evaluation of Project Scheduling Algorithms for Maximization of the Net Present Value
- Machine Learning Model Sizes and the Parameter Gap
- Betty: An Automatic Differentiation Library for Multilevel Optimization
- A domain-specific language for describing machine learning datasets
- Scoring Rules for Performative Binary Prediction
- Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
- Compute Cost Amortized Transformer for Streaming ASR
- Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling
- Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
- Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming
- SNeRF: Stylized Neural Implicit Representations for 3D Scenes
- Instance-optimal PAC Algorithms for Contextual Bandits
- Zero-shot Cross-Linguistic Learning of Event Semantics
- Generalization to translation shifts: a study in architectures and augmentations
- Many-body localized hidden generative models
- Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
- Multi-Label Retinal Disease Classification using Transformers
- Weakly Supervised Grounding for VQA in Vision-Language Transformers
- Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
- TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
- A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment
- Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images
- A Tutorial on the Spectral Theory of Markov Chains
- Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
- Cooperative Distribution Alignment via JSD Upper Bound
- BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection
- Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection
- Pretraining on Interactions for Learning Grounded Affordance Representations
- Towards Realistic Semi-Supervised Learning
- Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
- Ultra-Low-Bitrate Speech Coding with Pretrained Transformers
- OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
- Admissibility in Strength-based Argumentation: Complexity and Algorithms (Extended Version with Proofs)
- OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
- Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia
- Array Camera Image Fusion using Physics-Aware Transformers
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
- Video-based Surgical Skills Assessment using Long term Tool Tracking
- State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
- Guiding Machine Perception with Psychophysics
- Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
- Segmenting Moving Objects via an Object-Centric Layered Representation
- Clustered Saliency Prediction
- Detecting and Recovering Sequential DeepFake Manipulation
- CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
- Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
- Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue
- Cooperate or Compete: A New Perspective on Training of Generative Networks
- Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
- NeuralPassthrough: Learned Real-Time View Synthesis for VR
- CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations
- An Approximation Method for Fitted Random Forests
- ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning
- Activation Template Matching Loss for Explainable Face Recognition
- DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
- Probability density estimation for sets of large graphs with respect to spectral information using stochastic block models
- Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery
- A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
- Class-Specific Semantic Reconstruction for Open Set Recognition
- UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
- Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
- Deterministic Decoupling of Global Features and its Application to Data Analysis
- A survey of multimodal deep generative models
- Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention
- Adapting to Online Label Shift with Provable Guarantees
- Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
- An Intrusion Detection System based on Deep Belief Networks
- AI-based Malware and Ransomware Detection Models
- A cross-corpus study on speech emotion recognition
- Generating Game Levels of Diverse Behaviour Engagement
- Neural Networks and the Chomsky Hierarchy
- Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
- Predicting Out-of-Domain Generalization with Neighborhood Invariance
- CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
- SiamMask: A Framework for Fast Online Object Tracking and Segmentation
- Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing
- Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach
- A Densely Interconnected Network for Deep Learning Accelerated MRI
- Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
- RepMix: Representation Mixing for Robust Attribution of Synthesized Images
All 192
- Image Amodal Completion: A Survey
- Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
- Best Subset Selection with Efficient Primal-Dual Algorithm
- Online 2-stage Stable Matching
- MVP: Robust Multi-View Practice for Driving Action Localization
- PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
- AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture
- CNN-based Local Vision Transformer for COVID-19 Diagnosis
- DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
- Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
- Multiview Detection with Cardboard Human Modeling
- Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
- Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching
- The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
- Disentangling private classes through regularization
- Correlation between entropy and generalizability in a neural network
- Local Multi-Label Explanations for Random Forest
- Conflicting Interactions Among Protection Mechanisms for Machine Learning Models
- Unsupervised Crowdsourcing with Accuracy and Cost Guarantees
- Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning
- Defending against the Label-flipping Attack in Federated Learning
- Federated Self-supervised Learning for Video Understanding
- Understanding and Improving Group Normalization
- DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
- Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer
- A Safe Semi-supervised Graph Convolution Network
- Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
- Making sense of spoken plurals
- MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering
- Entity Linking in Tabular Data Needs the Right Attention
- Image Coding for Machines with Omnipotent Feature Learning
- Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities
- FishFormer: Annulus Slicing-based Transformer for Fisheye Rectification with Efficacy Domain Exploration
- Vector Quantisation for Robust Segmentation
- Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic
- GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
- Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
- Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
- StyleFlow For Content-Fixed Image to Image Translation
- A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems
- Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario
- Betti numbers of attention graphs is all you really need
- "Even if ..." -- Diverse Semifactual Explanations of Reject
- The Deep Ritz Method for Parametric p-Dirichlet Problems
- ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks
- Keyword Extraction in Scientific Documents
- Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
- MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
- Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
- ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations
- Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images
- Distance Matters in Human-Object Interaction Detection
- Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification
- TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
- PoF: Post-Training of Feature Extractor for Improving Generalization
- Planning with RL and episodic-memory behavioral priors
- Efficient Representation Learning via Adaptive Context Pooling
- ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
- Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation
- What Do Graph Convolutional Neural Networks Learn?
- Learning Local Implicit Fourier Representation for Image Warping
- Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation
- Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
- Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
- Multimodal Frame-Scoring Transformer for Video Summarization
- Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet
- Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding
- Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets
- ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
- GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
- Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
- PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
- Features Based Adaptive Augmentation for Graph Contrastive Learning
- A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction
- Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
- A Unified Meta-Learning Framework for Dynamic Transfer Learning
- On A Mallows-type Model For (Ranked) Choices
- CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
- 3D Part Assembly Generation with Instance Encoded Transformer
- Object-Level Targeted Selection via Deep Template Matching
- Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
- Vision-and-Language Pretraining
- A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
- SESS: Saliency Enhancing with Scaling and Sliding
- Rank-Based Filter Pruning for Real-Time UAV Tracking
- opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
- PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN
- GP22: A Car Styling Dataset for Automotive Designers
- FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis
- Universal Domain Adaptive Object Detector
- Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
- Plan Execution for Multi-Agent Path Finding with Indoor Quadcopters