Papers
Tue 20 Jul 2021
126 papers
- Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous RacecarsOffline RL and imitation learning from data → Imitation and offline RL for driving
- Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue SystemKnowledge distillation → Knowledge distillation for LLMs
- Critic Guided Segmentation of Rewarding Objects in First-Person ViewsOffline RL and imitation learning from data → Imitation learning methods
- Follow Your Path: a Progressive Method for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Offline Preference-Based Apprenticeship LearningOffline RL and imitation learning from data → Offline RL algorithms
- Neural Variational Learning for Grounded Language Acquisition
- Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
- Filament Plots for Data Visualization
- β-Annealed Variational Autoencoder for glitches
- Improving COVID-19 Forecasting using eXogenous Variables
- Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer
- Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
- Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
- Group Contrastive Self-Supervised Learning on Graphs
- Communication and Computation Reduction for Split Learning using Asynchronous Training
- High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series
- Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters
- Quantum Measurement Classification with Qudits
- Statistical Estimation from Dependent Data
- Faster Matchings via Learned Duals
- Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives
- Turbulent field fluctuations in gyrokinetic and fluid plasmas
- kNet: A Deep kNN Network To Handle Label Noise
- Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
- What Do You Get When You Cross Beam Search with Nucleus Sampling?
- Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia
- Registration of 3D Point Sets Using Correntropy Similarity Matrix
- An Efficient Multi-objective Evolutionary Approach for Solving the Operation of Multi-Reservoir System Scheduling in Hydro-Power Plants
- TLA: Twitter Linguistic Analysis
- 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
- Learning MR-Sort Models from Non-Monotone Data
- Human Perception of Audio Deepfakes
- Learn2Hop: Learned Optimization on Rough Landscapes
- On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
- Towards Privacy-preserving Explanations in Medical Image Analysis
- Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude?
- Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information
- Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
- Saliency for free: Saliency prediction as a side-effect of object recognition
- Precision-Weighted Federated Learning
- More Parameters? No Thanks!
- Integrated Sensing and Communication from Learning Perspective: An SDP3 Approach
- QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
- DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
- Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
- Positively Weighted Kernel Quadrature via Subsampling
- Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
- Active 3D Shape Reconstruction from Vision and Touch
- Semantic Reasoning with Differentiable Graph Transformations
- How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?
- Accelerating Edge Intelligence via Integrated Sensing and Communication
- Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs
- Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
- SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
- WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
- Mining Topological Dependencies of Recurrent Congestion in Road Networks
- Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
- Predicting Driver Takeover Time in Conditionally Automated Driving
- Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
- Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
- Parametric Scattering Networks
- Estimation of a regression function on a manifold by fully connected deep neural networks
- Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection
- Relay-Assisted Cooperative Federated Learning
- Significant Wave Height Prediction based on Wavelet Graph Neural Network
- On Prosody Modeling for ASR+TTS based Voice Conversion
- CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
- Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
- Edge of chaos as a guiding principle for modern neural network training
- Seed Words Based Data Selection for Language Model Adaptation
- BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
- Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
- RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
- Large-scale graph representation learning with very deep GNNs and self-supervision
- Algorithm Selection on a Meta Level
- CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs
- DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
- Establishing process-structure linkages using Generative Adversarial Networks
- SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
- Built-in Elastic Transformations for Improved Robustness
- An induction proof of the backpropagation algorithm in matrix notation
- Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring
- Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction
- An Embedding of ReLU Networks and an Analysis of their Identifiability
- Positive/Negative Approximate Multipliers for DNN Accelerators
- Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
- An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
- Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
- Approximation Theory of Convolutional Architectures for Time Series Modelling
- Similarity metrics for Different Market Scenarios in Abides
- Stein Variational Gradient Descent with Multiple Kernel
- StreamBlocks: A compiler for heterogeneous dataflow computing (technical report)
- Improving Sentence-Level Relation Extraction through Curriculum Learning
- Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
- A Real-time Speaker Diarization System Based on Spatial Spectrum
- SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
- LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
- A Bayesian Approach to Invariant Deep Neural Networks
- Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
- Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
All 126
- MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
- Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
- ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
- Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation
- Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation
- Paraphrasing via Ranking Many Candidates
- Locality-aware Channel-wise Dropout for Occluded Face Recognition
- FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
- Active operator inference for learning low-dimensional dynamical-system models from noisy data
- Monocular Visual Analysis for Electronic Line Calling of Tennis Games
- Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
- S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
- Boosting Few-Shot Classification with View-Learnable Contrastive Learning
- Generative Video Transformer: Can Objects be the Words?
- Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
- Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior
- Using reinforcement learning to autonomously identify sources of error for agents in group missions
- Discriminator-Free Generative Adversarial Attack
- From Predictions to Decisions: The Importance of Joint Predictive Distributions
- Heterogeneous network-based drug repurposing for COVID-19
- Understanding Gender and Racial Disparities in Image Recognition Models
- Music Tempo Estimation via Neural Networks -- A Comparative Analysis
- Asymptotic Escape of Spurious Critical Points on the Low-rank Matrix Manifold
- A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images
- AI in Finance: Challenges, Techniques and Opportunities