Papers
Tue 22 Mar 2022
189 papers
- Learning curves for the multi-class teacher-student perceptronKnowledge distillation → General knowledge distillation methods
- DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image ClassificationKnowledge distillation → Distillation for medical imaging
- Learning from All VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial LearningMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- What can we Learn Even From the Weakest? Learning Sketches for Programmatic StrategiesOffline RL and imitation learning from data → Imitation learning methods
- X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Channel Self-Supervision for Online Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-RealEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with TransformersWorld models → World modeling from LiDAR generation
- Making Recommender Systems Forget: Learning and Unlearning for Erasable RecommendationLLM safety and security → Membership inference attacks
- SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic ImagesKnowledge distillation → Distillation for medical imaging
- WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training modelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A Primer on Maximum Causal Entropy Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous Driving
- Exploring Continuous Integrate-and-Fire for Adaptive Simultaneous Speech Translation
- Network state Estimation using Raw Video Analysis: vQoS-GAN based non-intrusive Deep Learning Approach
- Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks
- Image Compression and Actionable Intelligence With Deep Neural Networks
- Constrained Parameter Inference as a Principle for Learning
- Pseudo Label Is Better Than Human Label
- Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
- TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
- Learning by non-interfering feedback chemical signaling in physical networks
- Toward Physically Realizable Quantum Neural Networks
- FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
- Deep Portrait Delighting
- PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
- A hybrid quantum image edge detector for the NISQ era
- WayFAST: Navigation with Predictive Traversability in the Field
- Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis
- A Unified Substrate for Body-Brain Co-evolution
- Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
- Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
- Bioplastic Design using Multitask Deep Neural Networks
- Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
- Generative Modeling Helps Weak Supervision (and Vice Versa)
- Learning Geodesic-Aware Local Features from RGB-D Images
- Merging Knockout and Round-Robin Tournaments: A Flexible Linear Elimination Tournament Design
- Text Transformations in Contrastive Self-Supervised Learning: A Review
- Federated Self-Supervised Learning for Acoustic Event Classification
- Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
- Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
- PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
- A Factor-Based Framework for Decision-Making Competency Self-Assessment
- Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
- CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
- A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction
- φ-SfT: Shape-from-Template with a Physics-Based Deformation Model
- 4D-OR: Semantic Scene Graphs for OR Domain Modeling
- Dataset Distillation by Matching Training Trajectories
- MetaMorph: Learning Universal Controllers with Transformers
- Focal Modulation Networks
- On Supervised Feature Selection from High Dimensional Feature Spaces
- SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT
- Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections
- Enabling faster and more reliable sonographic assessment of gestational age through machine learning
- Detection, Recognition, and Tracking: A Survey
- Transformer based ensemble for emotion detection
- GradViT: Gradient Inversion of Vision Transformers
- Insights From the NeurIPS 2021 NetHack Challenge
- Under the Hood of Transformer Networks for Trajectory Forecasting
- Open-Vocabulary DETR with Conditional Matching
- Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis
- An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms
- On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes
- Generating natural images with direct Patch Distributions Matching
- Practical tradeoffs between memory, compute, and performance in learned optimizers
- A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
- Sionna: An Open-Source Library for Next-Generation Physical Layer Research
- Representation Bias in Data: A Survey on Identification and Resolution Techniques
- A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation
- Spectral Algorithms Optimally Recover Planted Sub-structures
- SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
- A Real-time Junk Food Recognition System based on Machine Learning
- Improving Generalization in Federated Learning by Seeking Flat Minima
- Cross-View Panorama Image Synthesis
- Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent
- Explainable Landscape Analysis in Automated Algorithm Performance Prediction
- Was that so hard? Estimating human classification difficulty
- A Broad Study of Pre-training for Domain Generalization and Adaptation
- Clustering units in neural networks: upstream vs downstream information
- Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems
- A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
- Robust Classification using Contractive Hamiltonian Neural ODEs
- AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
- A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
- A Perspective on Neural Capacity Estimation: Viability and Reliability
- Learning Program Semantics with Code Representations: An Empirical Study
- Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model
- Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments
- Linear convergence of a policy gradient method for some finite horizon continuous time control problems
- Exploring and Evaluating Image Restoration Potential in Dynamic Scenes
- FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
- The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics
- ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
- Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder
- Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain
- A Bayesian Approach for Shaft Centre Localisation in Journal Bearings
- CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
- BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
All 189
- Exploring Linear Feature Disentanglement For Neural Networks
- End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training
- Meta-attention for ViT-backed Continual Learning
- Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
- Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
- Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook
- Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi
- Fine-Grained Scene Graph Generation with Data Transfer
- Weakly-Supervised Salient Object Detection Using Point Supervision
- Performance Evaluation of Machine Learning-based Algorithm and Taguchi Algorithm for the Determination of the Hardness Value of the Friction Stir Welded AA 6262 Joints at a Nugget Zone
- Semantic State Estimation in Cloth Manipulation Tasks
- Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
- Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
- Feature Distribution Matching for Federated Domain Generalization
- Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
- QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation
- On Neural Network Equivalence Checking using SMT Solvers
- Centered plug-in estimation of Wasserstein distances
- High-resolution Iterative Feedback Network for Camouflaged Object Detection
- Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation
- Dense Residual Networks for Gaze Mapping on Indian Roads
- Diagnosis of Schizophrenia: A comprehensive evaluation
- Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
- HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
- IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution
- Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue
- Environment induced emergence of collective behaviour in evolving swarms with limited sensing
- Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
- Predictor Selection for Synthetic Controls
- Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
- Conditional Generative Data Augmentation for Clinical Audio Datasets
- Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction
- Reinforcement-based frugal learning for satellite image change detection
- A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis
- Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
- Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection
- VQ-Flows: Vector Quantized Local Normalizing Flows
- Gradient flows and randomised thresholding: sparse inversion and classification
- Factual Consistency of Multilingual Pretrained Language Models
- Explainability in reinforcement learning: perspective and position
- Visuo-Haptic Object Perception for Robots: An Overview
- Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation
- Scale-out Systolic Arrays
- Convolutional Neural Network-based Efficient Dense Point Cloud Generation using Unsigned Distance Fields
- Out-of-distribution Generalization with Causal Invariant Transformations
- Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks
- Adaptative clustering by minimization of the mixing entropy criterion
- Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
- Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
- Residual-Guided Non-Intrusive Speech Quality Assessment
- FrameHopper: Selective Processing of Video Frames in Detection-driven Real-Time Video Analytics
- Exploring High-Order Structure for Robust Graph Structure Learning
- A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle
- Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking
- Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
- Mixed Differential Privacy in Computer Vision
- Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data
- Remember Intentions: Retrospective-Memory-based Trajectory Prediction
- Federated Class-Incremental Learning
- BigBird: Big Data Storage and Analytics at Scale in Hybrid Cloud
- Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
- A Locally Adaptive Algorithm for Multiple Testing with Network Structure
- Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity
- DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts
- How well does CLIP understand texture?
- Manipulating UAV Imagery for Satellite Model Training, Calibration and Testing
- Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction
- Demo of the Linguistic Field Data Management and Analysis System -- LiFE
- Scalable Video Object Segmentation with Identification Mechanism
- Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers
- Representation Uncertainty in Self-Supervised Learning as Variational Inference
- Non-linear Embeddings in Hilbert Simplex Geometry
- Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
- Gated Domain-Invariant Feature Disentanglement for Domain Generalizable Object Detection
- Task-guided Disentangled Tuning for Pretrained Language Models
- Towards Abstractive Grounded Summarization of Podcast Transcripts
- Consent as a Foundation for Responsible Autonomy
- Learning Confidence for Transformer-based Neural Machine Translation
- Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization
- Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
- Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
- Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective
- VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension
- Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
- A Real World Dataset for Multi-view 3D Reconstruction
- Towards Textual Out-of-Domain Detection without In-Domain Labels
- A Binary Characterization Method for Shape Convexity and Applications
- Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater