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 …

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 …

Fantastic Generalization Measures and Where to Find Them. Convergence Behaviour of Some Gradient-Based Methods on Bilinear Zero-Sum Games. Dynamic Model Pruning with Feedback. Structured Object-Aware Physics Prediction for Video Modeling and Planning. Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. Implementing Inductive bias …

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 …

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …