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 …

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 …

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 …

On Need for Topology-Aware Generative Models for Manifold-Based Defenses. Deep k-NN for Noisy Labels. Visual Interpretability Alone Helps Adversarial Robustness. Learning to Rank Learning Curves. Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs. An Empirical and Comparative Analysis of …

Augmenting Self-attention with Persistent Memory. Ensemble Distribution Distillation. Automated curriculum generation through setter-solver interactions. PolyGAN: High-Order Polynomial Generators. Mathematical Reasoning in Latent Space. Neural Execution of Graph Algorithms. Deep Double Descent: Where Bigger Models and More Data Hurt. The Early Phas …