Papers
Fri 8 Oct 2021
211 papers
- Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionKnowledge distillation → Distillation for medical imaging
- Score-based diffusion models for accelerated MRIDiffusion models → Medical imaging and segmentation
- Towards Sample-efficient Apprenticeship Learning from Suboptimal DemonstrationOffline RL and imitation learning from data → Robot learning from demonstration
- Offline Meta-Reinforcement Learning for Industrial InsertionOffline RL and imitation learning from data → Real-world robot offline RL
- Taming Sparsely Activated Transformer with Stochastic ExpertsMixture-of-experts → Expert routing strategies
- Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget MattersOffline RL and imitation learning from data → Offline RL algorithms
- Revisiting Design Choices in Offline Model-Based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions
- An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
- Weakly Supervised Concept Map Generation through Task-Guided Graph Translation
- Generational Frameshifts in Technology: Computer Science and Neurosurgery, The VR Use Case
- Machine Learning in Finance-Emerging Trends and Challenges
- A guided journey through non-interactive automatic story generation
- Deep Learning to Estimate Permeability using Geophysical Data
- Accountability in AI: From Principles to Industry-specific Accreditation
- Machine Learning Featurizations for AI Hacking of Political Systems
- Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector
- Toward Annotator Group Bias in Crowdsourcing
- Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
- Multifocal Stereoscopic Projection Mapping
- RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
- The Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE
- Game Theory for Adversarial Attacks and Defenses
- Classification of anomalous gait using Machine Learning techniques and embedded sensors
- An Activity Recognition Framework for Continuous Monitoring of Non-Steady-State Locomotion of Individuals with Parkinson's Disease
- Smart Crawling: A New Approach toward Focus Crawling from Twitter
- TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
- Study of Drug Assimilation in Human System using Physics Informed Neural Networks
- Image Compression and Classification Using Qubits and Quantum Deep Learning
- On the invertibility of a voice privacy system using embedding alignement
- Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
- Evaluating generative networks using Gaussian mixtures of image features
- Combining Image Features and Patient Metadata to Enhance Transfer Learning
- A MultiModal Social Robot Toward Personalized Emotion Interaction
- Dynamic Binary Neural Network by learning channel-wise thresholds
- Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks
- Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects
- Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
- Quantum pixel representations and compression for N-dimensional images
- Temperature as Uncertainty in Contrastive Learning
- HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
- Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
- Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks
- When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits
- The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results
- Evaluation of Summarization Systems across Gender, Age, and Race
- Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
- Performance optimizations on deep noise suppression models
- Neural Link Prediction with Walk Pooling
- A Few More Examples May Be Worth Billions of Parameters
- Fair Regression under Sample Selection Bias
- A Loss Curvature Perspective on Training Instability in Deep Learning
- Hybrid Random Features
- Towards a Unified View of Parameter-Efficient Transfer Learning
- Certifying Robustness to Programmable Data Bias in Decision Trees
- SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
- Training Transition Policies via Distribution Matching for Complex Tasks
- Learning to Describe Solutions for Bug Reports Based on Developer Discussions
- Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
- FRL: Federated Rank Learning
- Learning from non-irreducible Markov chains
- Adversarial Token Attacks on Vision Transformers
- KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
- Distinguishing rule- and exemplar-based generalization in learning systems
- DPUV3INT8: A Compiler View to programmable FPGA Inference Engines
- Computing an Optimal Pitching Strategy in a Baseball At-Bat
- Learning a Self-Expressive Network for Subspace Clustering
- COVID-19 Face Mask Recognition with Advanced Face Cut Algorithm for Human Safety Measures
- Salient ImageNet: How to discover spurious features in Deep Learning?
- 3D Meta-Segmentation Neural Network
- 2nd Place Solution to Google Landmark Retrieval 2021
- Toward a Visual Concept Vocabulary for GAN Latent Space
- Local and Global Context-Based Pairwise Models for Sentence Ordering
- Is MC Dropout Bayesian?
- Field Extraction from Forms with Unlabeled Data
- Collaging Class-specific GANs for Semantic Image Synthesis
- Pyxis: An Open-Source Performance Dataset of Sparse Accelerators
- Kernel Interpolation as a Bayes Point Machine
- Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training
- Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
- VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?
- Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
- Assessment of Neural Networks for Stream-Water-Temperature Prediction
- F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
- LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
- Active learning for interactive satellite image change detection
- Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
- Observations on K-image Expansion of Image-Mixing Augmentation for Classification
- Heavy Ball Momentum for Conditional Gradient
- Cognitive Coding of Speech
- lambeq: An Efficient High-Level Python Library for Quantum NLP
- Learning Topic Models: Identifiability and Finite-Sample Analysis
- Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task
- Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
- Inferring Offensiveness In Images From Natural Language Supervision
- Contrastive String Representation Learning using Synthetic Data
- Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students
- Toward a Human-Level Video Understanding Intelligence
- Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
All 211
- On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of ℝN with Boundary
- Explaining Reward Functions to Humans for Better Human-Robot Collaboration
- SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition
- Medical Dead-ends and Learning to Identify High-risk States and Treatments
- When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
- Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
- Dataset Condensation with Distribution Matching
- PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
- RelaySum for Decentralized Deep Learning on Heterogeneous Data
- TopoDetect: Framework for Topological Features Detection in Graph Embeddings
- Iterative Decoding for Compositional Generalization in Transformers
- Semantic Image Alignment for Vehicle Localization
- Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
- Explainability-Aware One Point Attack for Point Cloud Neural Networks
- Text analysis and deep learning: A network approach
- Rapid head-pose detection for automated slice prescription of fetal-brain MRI
- Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
- Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting
- Deep Upper Confidence Bound Algorithm for Contextual Bandit Ranking of Information Selection
- 3D Infomax improves GNNs for Molecular Property Prediction
- I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection
- On the Limitations of Multimodal VAEs
- Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
- Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units
- Topology-Imbalance Learning for Semi-Supervised Node Classification
- A Mining Software Repository Extended Cookbook: Lessons learned from a literature review
- Privacy-Aware Communication Over a Wiretap Channel with Generative Networks
- How to Do Things without Words: Modeling Semantic Drift of Emoji
- Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces
- New Insights into Graph Convolutional Networks using Neural Tangent Kernels
- Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
- Minimal-Configuration Anomaly Detection for IIoT Sensors
- Subspace Change-Point Detection via Low-Rank Matrix Factorisation
- Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition
- Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
- Towards Math-Aware Automated Classification and Similarity Search of Scientific Publications: Methods of Mathematical Content Representations
- Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
- Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
- UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
- Symbolic Register Automata for Complex Event Recognition and Forecasting
- Chromatic Aberration Recovery on Arbitrary Images
- Learning Sparse Graphs with a Core-periphery Structure
- Pathologies in priors and inference for Bayesian transformers
- Multidirectional Conjugate Gradients for Scalable Bundle Adjustment
- An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers
- KaraSinger: Score-Free Singing Voice Synthesis with VQ-VAE using Mel-spectrograms
- Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection
- Learning to Centralize Dual-Arm Assembly
- Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
- Perceived and Intended Sarcasm Detection with Graph Attention Networks
- Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
- Graphs as Tools to Improve Deep Learning Methods
- Multi Proxy Anchor Family Loss for Several Types of Gradients
- Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
- Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
- Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning
- Combining Differential Privacy and Byzantine Resilience in Distributed SGD
- Knowledge-aware Coupled Graph Neural Network for Social Recommendation
- Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
- MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing
- Tensor train completion: local recovery guarantees via Riemannian optimization
- Many Proxy Controls
- Graph Meta Network for Multi-Behavior Recommendation
- How to Build a Curb Dataset with LiDAR Data for Autonomous Driving
- GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
- Novel EEG-based BCIs for Elderly Rehabilitation Enhancement
- Mixability made efficient: Fast online multiclass logistic regression
- Social Recommendation with Self-Supervised Metagraph Informax Network
- Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
- CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning
- Anomaly Detection in Beehives: An Algorithm Comparison
- Pose Refinement with Joint Optimization of Visual Points and Lines
- Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization
- Directionally Decomposing Structured Light for Projector Calibration
- Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
- The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks
- ViDT: An Efficient and Effective Fully Transformer-based Object Detector
- Optical Flow Estimation for Spiking Camera
- Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery
- Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
- Nash Convergence of Mean-Based Learning Algorithms in First-Price Auctions
- COVID-19 Monitoring System using Social Distancing and Face Mask Detection on Surveillance video datasets
- Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation
- Neural Strokes: Stylized Line Drawing of 3D Shapes
- Differentiable Programming of Isometric Tensor Networks
- ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments
- Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
- Bounding-box deep calibration for high performance face detection
- Does Momentum Change the Implicit Regularization on Separable Data?
- M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining
- ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning
- Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees
- Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
- Phone-to-audio alignment without text: A Semi-supervised Approach
- Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
- Uncertainty quantification in the Bradley-Terry-Luce model
- Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis
- Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
- Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data
- Stable Prediction on Graphs with Agnostic Distribution Shift
- Boundary-aware Transformers for Skin Lesion Segmentation
- Token Pooling in Vision Transformers
- ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
- A study on the efficacy of model pre-training in developing neural text-to-speech system
- Meta-Learning 3D Shape Segmentation Functions
- Automatic annotation of visual deep neural networks
- Speeding up Deep Model Training by Sharing Weights and Then Unsharing
- Machine Translation Verbosity Control for Automatic Dubbing
- Input Length Matters: Improving RNN-T and MWER Training for Long-form Telephony Speech Recognition
- Multifile Partitioning for Record Linkage and Duplicate Detection
- Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model