Papers
Thu 2 Jun 2022
180 papers
- 3D-Augmented Contrastive Knowledge Distillation for Image-based Object Pose EstimationKnowledge distillation → Detection and dense prediction distillation
- Learning Soft Constraints From Constrained Expert DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning
- VL-BEiT: Generative Vision-Language PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- When does return-conditioned supervised learning work for offline reinforcement learning?Offline RL and imitation learning from data → Offline RL algorithms
- Score-Based Generative Models Detect ManifoldsDiffusion models → Diffusion foundations and sampling
- Improving Diffusion Models for Inverse Problems using Manifold ConstraintsDiffusion models → Inverse problems and image restoration
- DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsDiffusion models → Diffusion foundations and sampling
- A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving SystemEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Offline Reinforcement Learning with Differential PrivacyOffline RL and imitation learning from data → Offline RL algorithms
- Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics
- Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks
- Estimation of Electric Vehicle Public Charging Demand using Cellphone Data and Points of Interest-based Segmentation
- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods
- A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia
- A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in Integrated Circuit Manufacturing
- Resource Allocation for Compression-aided Federated Learning with High Distortion Rate
- A Local Optima Network Analysis of the Feedforward Neural Architecture Space
- A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI
- Compromised account detection using authorship verification: a novel approach
- Two Ways of Understanding Social Dynamics: Analyzing the Predictability of Emergence of Objects in Reddit r/place Dependent on Locality in Space and Time
- KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction
- Compound Multi-branch Feature Fusion for Real Image Restoration
- Machine Learning for Detection of 3D Features using sparse X-ray data
- Conversation Group Detection With Spatio-Temporal Context
- Robustness Evaluation and Adversarial Training of an Instance Segmentation Model
- RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding
- MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
- Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
- Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning
- Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn
- Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline
- Excess risk analysis for epistemic uncertainty with application to variational inference
- Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology
- HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
- Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
- Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control
- Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code
- Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance
- Augmenting Scientific Creativity with Retrieval across Knowledge Domains
- RELAY: Robotic EyeLink AnalYsis of the EyeLink 1000 using an Artificial Eye
- Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information
- SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
- Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
- Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
- A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks
- Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling
- H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation
- Deceptive Planning for Resource Allocation
- Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
- A memory-efficient neural ODE framework based on high-level adjoint differentiation
- Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models
- Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
- Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
- A Multiset Version of Even-Odd Permutations Identity
- Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
- Decentralized Training of Foundation Models in Heterogeneous Environments
- Sequential Permutation Testing of Random Forest Variable Importance Measures
- Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
- Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
- Data-Driven Linear Koopman Embedding for Networked Systems: Model-Predictive Grid Control
- MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems
- Exponential Separations in Symmetric Neural Networks
- Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction
- Entangled Residual Mappings
- PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
- Compressive Fourier collocation methods for high-dimensional diffusion equations with periodic boundary conditions
- Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
- Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods
- Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
- Real-Time Portrait Stylization on the Edge
- Fuzzy granular approximation classifier
- Equivariant Reinforcement Learning for Quadrotor UAV
- What Are Expected Queries in End-to-End Object Detection?
- Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient
- RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
- Siamese Image Modeling for Self-Supervised Vision Representation Learning
- Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
- Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
- REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
- Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization
- Hard Negative Sampling Strategies for Contrastive Representation Learning
- Uniqueness and Complexity of Inverse MDP Models
- EfficientFormer: Vision Transformers at MobileNet Speed
- Discretization Invariant Networks for Learning Maps between Neural Fields
- Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
- Invertible Neural Networks for Graph Prediction
- Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
- Optimizing Relevance Maps of Vision Transformers Improves Robustness
- DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
- Multi-View Active Fine-Grained Recognition
- Causal Structure Learning: a Combinatorial Perspective
- Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation
- Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
- Language and Culture Internalisation for Human-Like Autotelic AI
- A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
- Predictive Multiplicity in Probabilistic Classification
- Prefix Conditioning Unifies Language and Label Supervision
- Super-resolving 2D stress tensor field conserving equilibrium constraints using physics informed U-Net
- Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages
All 180
- Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space
- Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images
- A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection
- Weakly Supervised Representation Learning with Sparse Perturbations
- A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images
- Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
- A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion
- Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems
- Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
- Revisiting the General Identifiability Problem
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
- Practical Adversarial Multivalid Conformal Prediction
- DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
- FV-UPatches: Enhancing Universality in Finger Vein Recognition
- Artificial Open World for Evaluating AGI: a Conceptual Design
- A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
- Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
- Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
- Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
- Structured Two-stream Attention Network for Video Question Answering
- Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
- Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes
- Long-tailed Recognition by Learning from Latent Categories
- Unified Recurrence Modeling for Video Action Anticipation
- Approximate Network Motif Mining Via Graph Learning
- Shortest Path Networks for Graph Property Prediction
- Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks
- Is Mapping Necessary for Realistic PointGoal Navigation?
- StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
- On the Effectiveness of Knowledge Graph Embeddings: a Rule Mining Approach
- Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification
- Primal-dual extrapolation methods for monotone inclusions under local Lipschitz continuity
- CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
- Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection
- SparseDet: Towards End-to-End 3D Object Detection
- A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation
- Feature Space Particle Inference for Neural Network Ensembles
- Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
- Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems
- Generating Sparse Counterfactual Explanations For Multivariate Time Series
- Predicting Physical Object Properties from Video
- The ParlaSent-BCS dataset of sentiment-annotated parliamentary debates from Bosnia-Herzegovina, Croatia, and Serbia
- FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples
- Modeling Image Composition for Complex Scene Generation
- Federated Learning with a Sampling Algorithm under Isoperimetry
- Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction
- NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
- MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
- xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
- Leveraging Systematic Knowledge of 2D Transformations
- Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
- Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards
- Coordinated Double Machine Learning
- EfficientNeRF: Efficient Neural Radiance Fields
- Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs
- Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums
- Self-Consistency of the Fokker-Planck Equation
- Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset
- Bayesian Inference of Stochastic Dynamical Networks
- MentSum: A Resource for Exploring Summarization of Mental Health Online Posts
- Masked Bayesian Neural Networks : Computation and Optimality
- Dynamic MRI using Learned Transform-based Tensor Low-Rank Network (LT2LR-Net)
- TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation
- Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
- Hyperspherical Consistency Regularization
- DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
- Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm
- Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates
- Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
- Progressive Purification for Instance-Dependent Partial Label Learning
- BayesFormer: Transformer with Uncertainty Estimation
- Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
- A Confirmation of a Conjecture on the Feldman's Two-armed Bandit Problem
- NIPQ: Noise proxy-based Integrated Pseudo-Quantization
- Modeling sRGB Camera Noise with Normalizing Flows
- Distilling Knowledge from Object Classification to Aesthetics Assessment
- Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings
- XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
- Learning code summarization from a small and local dataset
- Indeterminacy in Generative Models: Characterization and Strong Identifiability