Papers
Sun 6 Jun 2021
135 papers
- Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great CoverageOffline RL and imitation learning from data → Imitation learning methods
- SoftDICE for Imitation Learning: Rethinking Off-policy Distribution MatchingOffline RL and imitation learning from data → Imitation learning methods
- From DNNs to GANs: Review of efficient hardware architectures for deep learning
- Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
- An evaluation of template and ML-based generation of user-readable text from a knowledge graph
- A Theory of Language Learning
- An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction
- A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
- Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
- Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
- A Meta Learning Approach to Discerning Causal Graph Structure
- A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing
- DPER: Efficient Parameter Estimation for Randomly Missing Data
- Noise Conditional Flow Model for Learning the Super-Resolution Space
- DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction
- DisTop: Discovering a Topological representation to learn diverse and rewarding skills
- Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
- What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization
- Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
- Signatured Deep Fictitious Play for Mean Field Games with Common Noise
- Meta-learning for downstream aware and agnostic pretraining
- Itihasa: A large-scale corpus for Sanskrit to English translation
- Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
- Structured Reordering for Modeling Latent Alignments in Sequence Transduction
- Tabular Data: Deep Learning is Not All You Need
- Extractive Research Slide Generation Using Windowed Labeling Ranking
- Neural Active Learning with Performance Guarantees
- Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
- Graph2Graph Learning with Conditional Autoregressive Models
- A call for better unit testing for invariant risk minimisation
- A Pre-training Oracle for Predicting Distances in Social Networks
- A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans
- Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks
- Neural Tangent Kernel Maximum Mean Discrepancy
- Efficient Lottery Ticket Finding: Less Data is More
- Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
- PAC Best Arm Identification Under a Deadline
- PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance
- On Memorization in Probabilistic Deep Generative Models
- PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
- On Local Aggregation in Heterophilic Graphs
- Towards an Understanding of Benign Overfitting in Neural Networks
- Distributed Learning and its Application for Time-Series Prediction
- Alpha Matte Generation from Single Input for Portrait Matting
- Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning
- Deep Learning-based Type Identification of Volumetric MRI Sequences
- Meta-Learning Reliable Priors in the Function Space
- Robust Implicit Networks via Non-Euclidean Contractions
- The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
- Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction
- Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
- Reverse Engineering the Neural Tangent Kernel
- Transient Chaos in BERT
- Vision Transformers with Hierarchical Attention
- Path-specific Effects Based on Information Accounts of Causality
- Feature-based Style Randomization for Domain Generalization
- FlexParser -- the adaptive log file parser for continuous results in a changing world
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
- Transformed ROIs for Capturing Visual Transformations in Videos
- Identifying Populist Paragraphs in Text: A machine-learning approach
- Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions
- Self-Supervision is All You Need for Solving Rubik's Cube
- Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
- Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
- Technical Report: Temporal Aggregate Representations
- Attend and select: A segment selective transformer for microblog hashtag generation
- Large-scale Unsupervised Semantic Segmentation
- Assessing Attendance by Peer Information
- Oriented Object Detection with Transformer
- CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
- A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation
- 3D Convolution Neural Network based Person Identification using Gait cycles
- Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction
- Pseudo-Riemannian Graph Convolutional Networks
- The Fine-Grained Hardness of Sparse Linear Regression
- 3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning
- MOC-GAN: Mixing Objects and Captions to Generate Realistic Images
- Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
- ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
- End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks
- Rethinking Training from Scratch for Object Detection
- Lexical Semantic Change Discovery
- Asymmetric Loss Functions for Learning with Noisy Labels
- Uformer: A General U-Shaped Transformer for Image Restoration
- Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning
- A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification
- Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
- TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
- Regularization in ResNet with Stochastic Depth
- Deep Matching Prior: Test-Time Optimization for Dense Correspondence
- Referring Transformer: A One-step Approach to Multi-task Visual Grounding
- Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
- Neural Implicit 3D Shapes from Single Images with Spatial Patterns
- Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction
- A novel Deep Neural Network architecture for non-linear system identification
- A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
- DL-DDA -- Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints
- Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
- Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
- Using GANs to Augment Data for Cloud Image Segmentation Task
All 135
- On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
- MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization
- Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
- ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
- Efficient Continuous Control with Double Actors and Regularized Critics
- How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements
- Empowering Language Understanding with Counterfactual Reasoning
- Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
- Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields
- DAMSL: Domain Agnostic Meta Score-based Learning
- Multi-facet Contextual Bandits: A Neural Network Perspective
- Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions
- Online Trading Models with Deep Reinforcement Learning in the Forex Market Considering Transaction Costs
- Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
- Graph Belief Propagation Networks
- Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss
- Do Grammatical Error Correction Models Realize Grammatical Generalization?
- Collaborative Causal Discovery with Atomic Interventions
- Model Zoo: A Growing "Brain" That Learns Continually
- Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models
- Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
- SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
- Embracing Ambiguity: Shifting the Training Target of NLI Models
- Machine Learning Based Anxiety Detection in Older Adults using Wristband Sensors and Context Feature
- Topological Measurement of Deep Neural Networks Using Persistent Homology
- Learning proofs for the classification of nilpotent semigroups
- Inverse design of two-dimensional materials with invertible neural networks
- An Adaptive Framework for Learning Unsupervised Depth Completion
- Truthful Self-Play
- Exploring the Limits of Out-of-Distribution Detection
- Causal Abstractions of Neural Networks
- Learning Topology from Synthetic Data for Unsupervised Depth Completion
- PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics
- Self-Damaging Contrastive Learning
- Singular Dynamic Mode Decompositions