Papers
Thu 15 Jul 2021
132 papers
- Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture SearchKnowledge distillation → Distillation for recommender systems
- Death in Genetic Algorithms
- Compressing Multisets with Large Alphabets using Bits-Back Coding
- Reinforcement Learning for Education: Opportunities and Challenges
- One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior
- Temporal-aware Language Representation Learning From Crowdsourced Labels
- Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension
- A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
- An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling
- Improving application performance with biased distributions of quantum states
- Obtaining Causal Information by Merging Datasets with MAXENT
- Multi-task Learning with Cross Attention for Keyword Spotting
- Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
- Correlation detection in trees for planted graph alignment
- Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
- Algorithmic insights on continual learning from fruit flies
- Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks
- Multi-Level Contrastive Learning for Few-Shot Problems
- Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data
- Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
- A Channel Coding Benchmark for Meta-Learning
- Real-Time Violence Detection Using CNN-LSTM
- Real-Time Face Recognition System for Remote Employee Tracking
- Globally Convergent Multilevel Training of Deep Residual Networks
- Beyond Goldfish Memory: Long-Term Open-Domain Conversation
- Internet-Augmented Dialogue Generation
- On the Importance of Regularisation & Auxiliary Information in OOD Detection
- SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing
- OdoViz: A 3D Odometry Visualization and Processing Tool
- Self-supervised 3D Human Mesh Recovery from Noisy Point Clouds
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
- VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording
- USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems
- Adaptable Agent Populations via a Generative Model of Policies
- MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
- An End-to-End Differentiable Framework for Contact-Aware Robot Design
- Recommending best course of treatment based on similarities of prognostic markers
- FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
- Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains
- Mid-flight Forecasting for CPA Lines in Online Advertising
- Algorithmic Concept-based Explainable Reasoning
- Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems
- Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
- A modular U-Net for automated segmentation of X-ray tomography images in composite materials
- Only Train Once: A One-Shot Neural Network Training And Pruning Framework
- Amodal segmentation just like doing a jigsaw
- Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
- GI-NNet & RGI-NNet: Development of Robotic Grasp Pose Models, Trainable with Large as well as Limited Labelled Training Datasets, under supervised and semi supervised paradigms
- Data vs classifiers, who wins?
- Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
- AutoBERT-Zero: Evolving BERT Backbone from Scratch
- Multi-label Chaining with Imprecise Probabilities
- StyleFusion: A Generative Model for Disentangling Spatial Segments
- FastSHAP: Real-Time Shapley Value Estimation
- Hierarchical graph neural nets can capture long-range interactions
- High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR
- Wordcraft: a Human-AI Collaborative Editor for Story Writing
- Optimal Scoring Rule Design under Partial Knowledge
- High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging
- PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
- Two-Sided Matching Meets Fair Division
- CLSRIL-23: Cross Lingual Speech Representations for Indic Languages
- Level generation and style enhancement -- deep learning for game development overview
- Auditing for Diversity using Representative Examples
- A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis
- Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data
- DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections
- Copula-Based Normalizing Flows
- A multi-schematic classifier-independent oversampling approach for imbalanced datasets
- You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack
- Predicting the near-wall region of turbulence through convolutional neural networks
- Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
- DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
- A unified framework for bandit multiple testing
- Variational Topic Inference for Chest X-Ray Report Generation
- Training for temporal sparsity in deep neural networks, application in video processing
- Input Dependent Sparse Gaussian Processes
- A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods
- Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images
- Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills
- MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
- Single-image Full-body Human Relighting
- MarIA: Spanish Language Models
- VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots
- Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
- Deep Automatic Natural Image Matting
- Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
- On the expressivity of bi-Lipschitz normalizing flows
- Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task
- COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
- StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN
- Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method
- Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo
- Neighbor-view Enhanced Model for Vision and Language Navigation
- RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
- Incorporating Lambertian Priors into Surface Normals Measurement
- Deep Learning based Food Instance Segmentation using Synthetic Data
- MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
- DeceFL: A Principled Decentralized Federated Learning Framework
All 132
- FLEX: Unifying Evaluation for Few-Shot NLP
- An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet
- Lockout: Sparse Regularization of Neural Networks
- What and When to Look?: Temporal Span Proposal Network for Video Relation Detection
- Semantic Image Cropping
- Tailor: Generating and Perturbing Text with Semantic Controls
- What Image Features Boost Housing Market Predictions?
- Learning Mixed-Integer Linear Programs from Contextual Examples
- NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming
- An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
- Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models
- Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
- Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis
- Principal component analysis for Gaussian process posteriors
- Uncertainty-Aware Reliable Text Classification
- Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining
- On the Evaluation of Neural Code Summarization
- Compact and Optimal Deep Learning with Recurrent Parameter Generators
- Online Learning for Recommendations at Grubhub
- Continuous-variable neural-network quantum states and the quantum rotor model
- Hida-Mat'ern Kernel
- Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features
- STAR: Sparse Transformer-based Action Recognition
- Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables
- An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
- Deep Learning on a Data Diet: Finding Important Examples Early in Training
- MeNToS: Tracklets Association with a Space-Time Memory Network
- Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable
- DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder
- A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
- Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction
- Expert Graphs: Synthesizing New Expertise via Collaboration