Papers
Fri 2 Jul 2021
126 papers
- Learned Token Pruning for TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Convolutional Neural Bandit for Visual-aware Recommendation
- How to make qubits speak
- You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source
- Compressive Representations of Weather Scenes for Strategic Air Traffic Flow Management
- Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks
- Prequential MDL for Causal Structure Learning with Neural Networks
- Disentangling Transfer and Interference in Multi-Domain Learning
- CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search
- Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks
- Data-driven mapping between functional connectomes using optimal transport
- Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks
- Subspace Clustering Based Analysis of Neural Networks
- Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
- Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection
- A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model
- Prescient teleoperation of humanoid robots
- Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition
- Visual Time Series Forecasting: An Image-driven Approach
- Physics-Guided Deep Learning for Dynamical Systems: A Survey
- Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition
- Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
- Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
- Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
- Solving Machine Learning Problems
- Truncated Marginal Neural Ratio Estimation
- HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
- Language Identification of Hindi-English tweets using code-mixed BERT
- Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
- Road Roughness Estimation Using Machine Learning
- DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature
- A Systems Theory of Transfer Learning
- Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
- CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
- NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
- Combinatorial Optimization with Physics-Inspired Graph Neural Networks
- Empirically Measuring Transfer Distance for System Design and Operation
- Ethics Sheets for AI Tasks
- SemCo: Toward Semantic Coherent Visual Relationship Forecasting
- Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
- Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
- Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations
- Unveiling the structure of wide flat minima in neural networks
- Gradient-Leakage Resilient Federated Learning
- A Survey on Deep Learning Technique for Video Segmentation
- Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
- Collaborative Visual Navigation
- 4C: A Computation, Communication, and Control Co-Design Framework for CAVs
- Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
- Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
- On Measuring and Controlling the Spectral Bias of the Deep Image Prior
- Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
- Screening for a Reweighted Penalized Conditional Gradient Method
- Memory Efficient Meta-Learning with Large Images
- Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
- CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription
- Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
- Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
- Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
- General Board Game Concepts
- DUKweb: Diachronic word representations from the UK Web Archive corpus
- Unsupervised Spoken Utterance Classification
- Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
- Backward-Compatible Prediction Updates: A Probabilistic Approach
- The Optimal Size of an Epistemic Congress
- DeformRS: Certifying Input Deformations with Randomized Smoothing
- Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
- Optical Braille Recognition using Circular Hough Transform
- Multimodal Representation for Neural Code Search
- Sub-millisecond Video Synchronization of Multiple Android Smartphones
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
- Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
- Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
- R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
- Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
- Brain over Brawn: Using a Stereo Camera to Detect, Track, and Intercept a Faster UAV by Reconstructing the Intruder's Trajectory
- ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
- Ascent Similarity Caching with Approximate Indexes
- SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
- Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
- Embodiment and Computational Creativity
- From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
- Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
- Misinformation Detection on YouTube Using Video Captions
- Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
- Hybrid Supervision Learning for Pathology Whole Slide Image Classification
- MSN: Multi-Style Network for Trajectory Prediction
- A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
- Data Centric Domain Adaptation for Historical Text with OCR Errors
- Supervised Contrastive Learning for Accented Speech Recognition
- Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
- Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
- HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset
- Segmented Federated Learning for Adaptive Intrusion Detection System
- Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference
- LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
- On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
- Reconsidering Dependency Networks from an Information Geometry Perspective
- Learning Primal Heuristics for Mixed Integer Programs
- User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications
All 126
- Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
- Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
- Deep learning-based statistical noise reduction for multidimensional spectral data
- Cross-view Geo-localization with Evolving Transformer
- ClueReader: Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension
- Exploration noise for learning linear-quadratic mean field games
- RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
- An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors
- Decision tree heuristics can fail, even in the smoothed setting
- 1st Place Solutions for UG2+ Challenge 2021 -- (Semi-)supervised Face detection in the low light condition
- Few-shot Learning for Unsupervised Feature Selection
- Cell-average based neural network method for hyperbolic and parabolic partial differential equations
- Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots
- MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
- He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics
- Meta-Learning for Relative Density-Ratio Estimation
- Near-optimal Algorithms for Explainable k-Medians and k-Means
- Mitigating deep double descent by concatenating inputs
- The Causal-Neural Connection: Expressiveness, Learnability, and Inference
- Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions
- Reinforcement Learning for Feedback-Enabled Cyber Resilience
- Polarized Self-Attention: Towards High-quality Pixel-wise Regression
- UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
- On Bridging Generic and Personalized Federated Learning for Image Classification
- Toward Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning
- Transformer-F: A Transformer network with effective methods for learning universal sentence representation