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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Imitation by Predicting Observations ICML 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021
Self-Damaging Contrastive Learning ICML 2021
The Emergence of Individuality ICML 2021
Self-Improved Retrosynthetic Planning ICML 2021
Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021
APS: Active Pretraining with Successor Features ICML 2021
ACE: Explaining cluster from an adversarial perspective ICML 2021
Learning Stochastic Behaviour from Aggregate Data ICML 2021
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture ICML 2021
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021
GeomCA: Geometric Evaluation of Data Representations ICML 2021
Global Prosody Style Transfer Without Text Transcriptions ICML 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images ICML 2021
Learning Transferable Visual Models From Natural Language Supervision ICML 2021
State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training ICML 2021
OmniNet: Omnidirectional Representations from Transformers ICML 2021
Understanding self-supervised learning dynamics without contrastive pairs ICML 2021
On Disentangled Representations Learned from Correlated Data ICML 2021
Towards Domain-Agnostic Contrastive Learning ICML 2021
Self-Tuning for Data-Efficient Deep Learning ICML 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021