representation learning

The Hidden Folk: Linguistic Properties Encoded in Multilingual Contextual Character Representations ACL 2023 The hidden uniform cluster prior in self-supervised learning ICLR 2023 The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks ICLR 2023 The Less the Merrier? Investigating Language Representation in Multilingual Models EMNLP 2023 The Locality and Symmetry of Positional Encodings EMNLP 2023 The Numerical Stability of Hyperbolic Representation Learning ICML 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning NeurIPS 2023 The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning ICML 2023 The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation NeurIPS 2023 The SSL Interplay: Augmentations, Inductive Bias, and Generalization ICML 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry ICLR 2023 The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning ICLR 2023 The Tunnel Effect: Building Data Representations in Deep Neural Networks NeurIPS 2023 This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NeurIPS 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023 Time-Aware Representation Learning for Time-Sensitive Question Answering EMNLP 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings NeurIPS 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023 Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions ACL 2023 ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling CVPR 2023 Towards a better understanding of representation dynamics under TD-learning ICML 2023 Towards a Deep Understanding of Multilingual End-to-End Speech Translation EMNLP 2023