Image Classification

Paper Group NANR 6

Paper Group NANR 6

April 1, 2020

RefNet: Automatic Essay Scoring by Pairwise Comparison. Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks. Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. QXplore: Q-Learning Exploration …
Paper Group NANR 62

Paper Group NANR 62

April 1, 2020

Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference. Auto Network Compression with Cross-Validation Gradient. Regularizing activations in neural networks via distribution matching with the Wassertein metric. TrojanNet: Exposing the Danger of Trojan Horse Attack on Neural Networks. Sparse Coding with Gated …
Paper Group NANR 63

Paper Group NANR 63

April 1, 2020

Reinforcement Learning with Probabilistically Complete Exploration. Unknown-Aware Deep Neural Network. DP-LSSGD: An Optimization Method to Lift the Utility in Privacy-Preserving ERM. BERT for Sequence-to-Sequence Milti-Label Text Classification. Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading. Data-Driven Ap …
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 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 74

Paper Group NANR 74

April 1, 2020

Angular Visual Hardness. The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. A multi-task U-net for segmentation with lazy labels. Mint: Matrix-Interleaving for Multi-Task Learning. Gradient Surgery for Multi-Task Learning. Multi-Dimensional Explanation of Reviews. Underwhelming Generalizatio …
Paper Group NANR 75

Paper Group NANR 75

April 1, 2020

Exploring the Pareto-Optimality between Quality and Diversity in Text Generation. The Detection of Distributional Discrepancy for Text Generation. Coresets for Accelerating Incremental Gradient Methods. CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION. Gradient Perturbation is Underrated for Differentiall …
Paper Group NANR 76

Paper Group NANR 76

April 1, 2020

Hidden incentives for self-induced distributional shift. Measuring Numerical Common Sense: Is A Word Embedding Approach Effective?. Variational Autoencoders with Normalizing Flow Decoders. A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed. Differentiable Architecture Compression. Black Box Recursive Translations for M …
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 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 84

Paper Group NANR 84

April 1, 2020

HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS. Benchmarking Model-Based Reinforcement Learning. Defending Against Physically Realizable Attacks on Image Classification. 3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training. The Gambler’s Problem and Beyond. Smooth markets: A basic mech …
Paper Group NANR 86

Paper Group NANR 86

April 1, 2020

Meta-Learning Initializations for Image Segmentation. Measuring the Reliability of Reinforcement Learning Algorithms. How many weights are enough : can tensor factorization learn efficient policies ?. Regularization Matters in Policy Optimization. Deceptive Opponent Modeling with Proactive Network Interdiction for Stochastic Goal Recognition Contro …
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 89

Paper Group NANR 89

April 1, 2020

Attributes Obfuscation with Complex-Valued Features. IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. Progressive Upsampling Audio Synthesis via Effective Adversarial Training. Accelerating SGD with momentum for over-parameterized learning. Estimating Gradients for Discrete Random Variables by Sampling without Re …
Paper Group NANR 90

Paper Group NANR 90

April 1, 2020

SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning. Transferable Perturbations of Deep Feature Distributions. Mutual Information Maximization for Robust Plannable Representations. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. Non-Sequential Melody Generation. Smart Ternary Quantizatio …
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 97

Paper Group NANR 97

April 1, 2020

Deep Orientation Uncertainty Learning based on a Bingham Loss. Learning Disentangled Representations for CounterFactual Regression. Unrestricted Adversarial Examples via Semantic Manipulation. Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. Winning Privately: The Differentially Private Lottery Ticket Mechanism. Certifying Neu …
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 3

Paper Group NAWR 3

April 1, 2020

Why ADAM Beats SGD for Attention Models. Hindsight Trust Region Policy Optimization. Decentralized Distributed PPO: Mastering PointGoal Navigation. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. Bootstrapping the Expressivity with Model-based Planning. Automated Relational Meta-learning. Empirical Bayes Transductive Meta-Learn …
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- …
Paper Group NAWR 7

Paper Group NAWR 7

April 1, 2020

GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features. AtomNAS: Fine-Grained End-to-End Neural Architecture Search …