Language Modelling

Paper Group NANR 111

Paper Group NANR 111

April 1, 2020

Natural- to formal-language generation using Tensor Product Representations. Towards trustworthy predictions from deep neural networks with fast adversarial calibration. Deep Randomized Least Squares Value Iteration. Language-independent Cross-lingual Contextual Representations. Safe Policy Learning for Continuous Control. Lattice Representation Le …
Paper Group NANR 112

Paper Group NANR 112

April 1, 2020

TSInsight: A local-global attribution framework for interpretability in time-series data. Connecting the Dots Between MLE and RL for Sequence Prediction. Quantum Semi-Supervised Kernel Learning. Meta-Graph: Few shot Link Prediction via Meta Learning. Learning transitional skills with intrinsic motivation. Distilling the Knowledge of BERT for Text G …
Paper Group NANR 115

Paper Group NANR 115

April 1, 2020

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Provable Convergence and Global Optimality of Generative Adversarial Network. Representation Learning with Multisets. Deep Gradient Boosting – Layer-wise Input Normalization of Neural Networks. Inferring Dynamical Systems with Long-Range Dependencies through Line …
Paper Group NANR 117

Paper Group NANR 117

April 1, 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. Masked Based Unsupervised Content Transfer. Wasserstein Adversarial Regularization (WAR) on label noise. Understanding and Improving Information Transfer in Multi-Task Learning. On the Pareto Efficiency of Quantized CNN. Spike-based causal inference for …
Paper Group NANR 126

Paper Group NANR 126

April 1, 2020

Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization. Reasoning-Aware Graph Convolutional Network for Visual Question Answering. Attention on Abstract Visual Reasoning. CLEVRER: Collision Events for Video Representation and Reasoning. Deep End-to-end Unsupervised Anomaly Detection. Attentive Weights Generation for Few Shot Lea …
Paper Group NANR 127

Paper Group NANR 127

April 1, 2020

Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding. Learning Generative Models using Denoising Density Estimators. Invertible generative models for inverse problems: mitigating representation error and dataset bias. XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings. A Bi …
Paper Group NANR 130

Paper Group NANR 130

April 1, 2020

How to 0wn the NAS in Your Spare Time. Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. Deep Variational Semi-Supervised Novelty Detection. DS-VIC: Unsupervised Discovery of Decision States for Transfer in RL. NAS-BENCH-1SHOT1: BENCHMARKING AND DISSECTING ONE-SHOT NEURAL ARCHITECTURE SEARCH. An Information Theo …
Paper Group NANR 132

Paper Group NANR 132

April 1, 2020

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ISBNet: Instance-aware Selective Branching Networks. Compositional Continual Language Learning. Testing Robustness Against Unforeseen Adversaries. Transfer Active Learning For Graph Neural Networks. Adaptive Online Planning for Continual Lifelong Learning. Symmetry and Syst …
Paper Group NANR 137

Paper Group NANR 137

April 1, 2020

Unsupervised Meta-Learning for Reinforcement Learning. Discrete InfoMax Codes for Meta-Learning. VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. Continual Deep Learning by Functional Regularisation of Memorable Past. Learning to Remember from a …
Paper Group NANR 138

Paper Group NANR 138

April 1, 2020

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING. Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. Topological Autoencoders. Policy Optimization with Stochastic Mirror Descent. Generative Latent Flow. Neural Phrase-to-P …
Paper Group NANR 140

Paper Group NANR 140

April 1, 2020

Learning Effective Exploration Strategies For Contextual Bandits. Efficient Content-Based Sparse Attention with Routing Transformers. On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. EINS: Long Short-Term Memory with Extrapolated Input Network Simplification. Improving Neural Language Generation with Spectrum Con …
Paper Group NANR 16

Paper Group NANR 16

April 1, 2020

Compressive Recovery Defense: A Defense Framework for $\ell_0, \ell_2$ and $\ell_\infty$ norm attacks.. Exploring Cellular Protein Localization Through Semantic Image Synthesis. Latent Variables on Spheres for Sampling and Inference. Sequence-level Intrinsic Exploration Model for Partially Observable Domains. Perceptual Regularization: Visualizing …
Paper Group NANR 2

Paper Group NANR 2

April 1, 2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. VAENAS: Sampling Matters in Neural Architecture Search. Contextual Temperature for Language Modeling. Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction. Flexible and Efficient Long-Range Plannin …
Paper Group NANR 21

Paper Group NANR 21

April 1, 2020

Policy Optimization by Local Improvement through Search. Anchor & Transform: Learning Sparse Representations of Discrete Objects. Low Bias Gradient Estimates for Very Deep Boolean Stochastic Networks. Learning General and Reusable Features via Racecar-Training. Attention Forcing for Sequence-to-sequence Model Training. Stabilizing DARTS with Amende …
Paper Group NANR 25

Paper Group NANR 25

April 1, 2020

GRASPEL: GRAPH SPECTRAL LEARNING AT SCALE. Neural Networks for Principal Component Analysis: A New Loss Function Provably Yields Ordered Exact Eigenvectors. AMRL: Aggregated Memory For Reinforcement Learning. Adjustable Real-time Style Transfer. Counterfactuals uncover the modular structure of deep generative models. Semi-Implicit Back Propagation. …
Paper Group NANR 29

Paper Group NANR 29

April 1, 2020

OvA-INN: Continual Learning with Invertible Neural Networks. Building Deep Equivariant Capsule Networks. Beyond Classical Diffusion: Ballistic Graph Neural Network. Masked Translation Model. Unsupervised Video-to-Video Translation via Self-Supervised Learning. Progressive Knowledge Distillation For Generative Modeling. Semi-Supervised Few-Shot Lear …
Paper Group NANR 31

Paper Group NANR 31

April 1, 2020

Encoding word order in complex embeddings. Model Inversion Networks for Model-Based Optimization. Efficient generation of structured objects with Constrained Adversarial Networks. A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. DDSP: Differentiable Digital Signal Processing. FRICATIVE PHONEME DETECTION WITH ZERO DELA …
Paper Group NANR 32

Paper Group NANR 32

April 1, 2020

Shape Features Improve General Model Robustness. Deep Network classification by Scattering and Homotopy dictionary learning. HUBERT Untangles BERT to Improve Transfer across NLP Tasks. Deeper Insights into Weight Sharing in Neural Architecture Search. DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks. A Simple Geometric Proof …
Paper Group NANR 35

Paper Group NANR 35

April 1, 2020

Cross-Lingual Ability of Multilingual BERT: An Empirical Study. Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination. Knockoff-Inspired Feature Selection via Generative Models. Self-Induced Curriculum Learning in Neural Machine Translation. Granger Causal Structure Reconstruction from Heterogeneous Multivariate Time Ser …
Paper Group NANR 37

Paper Group NANR 37

April 1, 2020

Fully Quantized Transformer for Improved Translation. Scalable Neural Learning for Verifiable Consistency with Temporal Specifications. Cascade Style Transfer. Randomness in Deconvolutional Networks for Visual Representation. Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. SINGLE PATH ONE-SHOT NEURAL ARCHITECTURE …
Paper Group NANR 38

Paper Group NANR 38

April 1, 2020

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. $\alpha^{\alpha}$-Rank: Scalable Multi-agent Evaluation through Evolution. Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. Zero-shot task adaptation by homoiconic meta-mapping. Towards Effective and Efficient Zero-shot Learning by Fin …
Paper Group NANR 40

Paper Group NANR 40

April 1, 2020

Semi-Supervised Few-Shot Learning with Prototypical Random Walks. On the Evaluation of Conditional GANs. The Visual Task Adaptation Benchmark. Residual EBMs: Does Real vs. Fake Text Discrimination Generalize?. Variable Complexity in the Univariate and Multivariate Structural Causal Model. Forecasting Deep Learning Dynamics with Applications to Hype …
Paper Group NANR 42

Paper Group NANR 42

April 1, 2020

Improved Structural Discovery and Representation Learning of Multi-Agent Data. Extreme Language Model Compression with Optimal Subwords and Shared Projections. Feature Map Transform Coding for Energy-Efficient CNN Inference. Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Nonconvex Optimization. Deep Spike Decoder (DSD). Ad …
Paper Group NANR 49

Paper Group NANR 49

April 1, 2020

Diving into Optimization of Topology in Neural Networks. Stabilizing Transformers for Reinforcement Learning. Aggregating explanation methods for neural networks stabilizes explanations. Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems. Attributed Graph Learning with 2-D Graph Convolution. Chordal-GC …
Paper Group NANR 50

Paper Group NANR 50

April 1, 2020

A shallow feature extraction network with a large receptive field for stereo matching tasks. DeepEnFM: Deep neural networks with Encoder enhanced Factorization Machine. Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping. Limitations for Learning from Point Clouds. Adaptive Structural Fingerprints for Graph Attention …
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 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 65

Paper Group NANR 65

April 1, 2020

Enhancing Adversarial Defense by k-Winners-Take-All. Learn to Explain Efficiently via Neural Logic Inductive Learning. Leveraging Entanglement Entropy for Deep Understanding of Attention Matrix in Text Matching. Reducing Transformer Depth on Demand with Structured Dropout. AlignNet: Self-supervised Alignment Module. Moniqua: Modulo Quantized Commun …