Representation Learning

Paper Group NANR 54

Paper Group NANR 54

April 1, 2020

Theory and Evaluation Metrics for Learning Disentangled Representations. LSTOD: Latent Spatial-Temporal Origin-Destination prediction model and its applications in ride-sharing platforms. TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. Unsupervised Model Selection for Variational Disentan …
Paper Group NANR 56

Paper Group NANR 56

April 1, 2020

Meta-Learning with Warped Gradient Descent. Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. Domain Aggregation Networks for Multi-Source Domain Adaptation. Using Explainabilty to Detect Adversarial Attacks. Domain-invariant Learning using Adaptive Filter Decomposition. VILD: Variational Imitation Learning with Diverse-qua …
Paper Group NANR 57

Paper Group NANR 57

April 1, 2020

Continual Learning with Bayesian Neural Networks for Non-Stationary Data. Knossos: Compiling AI with AI. Dynamic Time Lag Regression: Predicting What & When. Reparameterized Variational Divergence Minimization for Stable Imitation. Deep Symbolic Superoptimization Without Human Knowledge. Provable Filter Pruning for Efficient Neural Networks. Compre …
Paper Group NANR 60

Paper Group NANR 60

April 1, 2020

LAVAE: Disentangling Location and Appearance. Proactive Sequence Generator via Knowledge Acquisition. Provable Representation Learning for Imitation Learning via Bi-level Optimization. A Perturbation Analysis of Input Transformations for Adversarial Attacks. Robustified Importance Sampling for Covariate Shift. Learning Space Partitions for Nearest …
Paper Group NANR 64

Paper Group NANR 64

April 1, 2020

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. Deep 3D Pan via Local adaptive “t-shaped” convolutions with global and local adaptive dilations. SPREAD DIVERGENCE. Simplicial Complex Networks. Identifying through Flows for Recovering Latent Representations. Adaptive network sparsification with dependent variation …
Paper Group NANR 66

Paper Group NANR 66

April 1, 2020

FR-GAN: Fair and Robust Training. Learning Video Representations using Contrastive Bidirectional Transformer. Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models. Certified Robustness to Adversarial Label-Flipping Attacks via Randomized Smoothing. Exploration via Flow-Based Intrinsic Rewards. Robust Domain R …
Paper Group NANR 67

Paper Group NANR 67

April 1, 2020

Improved Mutual Information Estimation. Stochastic Latent Residual Video Prediction. Octave Graph Convolutional Network. Generalization Puzzles in Deep Networks. Under what circumstances do local codes emerge in feed-forward neural networks. Using Objective Bayesian Methods to Determine the Optimal Degree of Curvature within the Loss Landscape. Adv …
Paper Group NANR 68

Paper Group NANR 68

April 1, 2020

Novelty Search in representational space for sample efficient exploration. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. EXACT ANALYSIS OF CURVATURE CORRECTED LEARNING DYNAMICS IN DEEP LINEAR NETWORKS. Equilibrium Propagation with Continual Weight Updates. Mincut Pooling in Graph Neural Networks. Never Give Up: Learning Dir …
Paper Group NANR 7

Paper Group NANR 7

April 1, 2020

BETANAS: Balanced Training and selective drop for Neural Architecture Search. INTERPRETING CNN PREDICTION THROUGH LAYER - WISE SELECTED DISCERNIBLE NEURONS. Adversarial Interpolation Training: A Simple Approach for Improving Model Robustness. Robustness Verification for Transformers. Diversely Stale Parameters for Efficient Training of Deep Convolu …
Paper Group NANR 72

Paper Group NANR 72

April 1, 2020

Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. Customizing Sequence Generation with Multi-Task Dynamical Systems. Learning Representations in Reinforcement Learning: an Information Bottleneck Approach. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. LEX-GAN: Layered Explainable Rumor Detector Based on …
Paper Group NANR 77

Paper Group NANR 77

April 1, 2020

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. Teaching GAN to generate per-pixel annotation. RNA Secondary Structure Prediction By Learning Unrolled Algorithms. Meta Label Correction for Learning with Weak Supervision. Asynchronous Stochastic Subgradient Methods for General Nonsmooth Nonconvex Optimization. …
Paper Group NANR 78

Paper Group NANR 78

April 1, 2020

The function of contextual illusions. PDP: A General Neural Framework for Learning SAT Solvers. Project and Forget: Solving Large Scale Metric Constrained Problems. Visual Explanation for Deep Metric Learning. The Frechet Distance of training and test distribution predicts the generalization gap. End to End Trainable Active Contours via Differentia …
Paper Group NANR 79

Paper Group NANR 79

April 1, 2020

Three-Head Neural Network Architecture for AlphaZero Learning. Invariance vs Robustness of Neural Networks. Data Augmentation in Training CNNs: Injecting Noise to Images. Decoupling Representation and Classifier for Long-Tailed Recognition. Relevant-features based Auxiliary Cells for Robust and Energy Efficient Deep Learning. Representing Model Unc …
Paper Group NANR 80

Paper Group NANR 80

April 1, 2020

Learning Invariants through Soft Unification. Collapsed amortized variational inference for switching nonlinear dynamical systems. Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. Target-Embedding Autoencoders for Supervised Representation Learning. COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS. Neural M …
Paper Group NANR 83

Paper Group NANR 83

April 1, 2020

Deep Relational Factorization Machines. Antifragile and Robust Heteroscedastic Bayesian Optimisation. Meta-Learning without Memorization. Truth or backpropaganda? An empirical investigation of deep learning theory. Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. Inductive Matri …
Paper Group NANR 85

Paper Group NANR 85

April 1, 2020

Disentangling Factors of Variations Using Few Labels. Critical initialisation in continuous approximations of binary neural networks. Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. Stochastic Gradient Descent with Biased but Consistent Gradient Estimators. The Sooner The Better: Investigating Structu …
Paper Group NANR 87

Paper Group NANR 87

April 1, 2020

PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS. Learning transport cost from subset correspondence. On Robustness of Neural Ordinary Differential Equations. Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?. Sign Bits Are All You Need for Black-Box Attacks. Biologically inspired sleep algorithm for inc …
Paper Group NANR 92

Paper Group NANR 92

April 1, 2020

Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth. Combining Q-Learning and Search with Amortized Value Estimates. Improved memory in recurrent neural networks with sequential non-normal dynamics. Differentiable Reasoning over a Virtual Knowledge Base. Hamiltonian Generative Networks. GenDICE: Generalized Offli …
Paper Group NANR 93

Paper Group NANR 93

April 1, 2020

PNAT: Non-autoregressive Transformer by Position Learning. Diagnosing the Environment Bias in Vision-and-Language Navigation. Differentially Private Meta-Learning. Learning Underlying Physical Properties From Observations For Trajectory Prediction. Universal Approximation with Certified Networks. Neural Policy Gradient Methods: Global Optimality an …
Paper Group NANR 95

Paper Group NANR 95

April 1, 2020

GPU Memory Management for Deep Neural Networks Using Deep Q-Network. On the “steerability” of generative adversarial networks. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. Adversarial Robustness Against the Union of Multiple Perturbation Models. Quantifying Point-Prediction Uncertainty in Neural Networks via Residua …
Paper Group NANR 99

Paper Group NANR 99

April 1, 2020

Privacy-preserving Representation Learning by Disentanglement. Projection Based Constrained Policy Optimization. Single episode transfer for differing environmental dynamics in reinforcement learning. SELF: Learning to Filter Noisy Labels with Self-Ensembling. Efficient Probabilistic Logic Reasoning with Graph Neural Networks. Black-box Off-policy …
Paper Group NAWR 1

Paper Group NAWR 1

April 1, 2020

Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Learning Cross-modal Context Graph for Visual Grounding. Differentially Private Mixed-Type Data Generation For Unsupervised Learning. HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. Cost-Effective Testing of a Deep Learning Model through Input Reduction. Learnin …
Paper Group NAWR 4

Paper Group NAWR 4

April 1, 2020

Generative Adversarial Nets for Multiple Text Corpora. Hyperbolic Image Embeddings. Localised Generative Flows. Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model. Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model. Interpretations are useful: penalizing e …
Paper Group NAWR 5

Paper Group NAWR 5

April 1, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. Chameleon: Adaptive Code Optimization For Expedited Deep Neural Network Compilation. ProtoAttend: Attention- …