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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Neural Syntactic Preordering for Controlled Paraphrase Generation ACL 2020
Goal-Aware Prediction: Learning to Model What Matters ICML 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020
Active World Model Learning with Progress Curiosity ICML 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020
Long Short-Term Sample Distillation AAAI 2020
Temporal Contrastive Pretraining for Video Action Recognition WACV 2020
Human Consensus-Oriented Image Captioning IJCAI 2020
Flow-based Intrinsic Curiosity Module IJCAI 2020
Enhancing Dialog Coherence with Event Graph Grounded Content Planning IJCAI 2020
Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020
A Multi-Scale Approach for Graph Link Prediction AAAI 2020
Message Passing Attention Networks for Document Understanding AAAI 2020
Latent Bernoulli Autoencoder ICML 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020
Multi-Task Self-Supervised Learning for Disfluency Detection AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020
Learning Deep Relations to Promote Saliency Detection AAAI 2020
Release the Power of Online-Training for Robust Visual Tracking AAAI 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020
How Should an Agent Practice? AAAI 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020