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52 Open 1 Closed
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Issues list

RLAIF
#54 opened Jan 22, 2025 by nagataka
[Survey] Contrastive Learning Computer Vision Representation Learning Self Supervised Learning
#53 opened Sep 6, 2024 by nagataka
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models (ICML'23) VLP (Vision-Language Pre-training)
#52 opened Sep 3, 2024 by nagataka
Visual Instruction Tuning (NeurIPS 2023 Oral) VLP (Vision-Language Pre-training)
#51 opened Sep 3, 2024 by nagataka
RLHF RLHF
#50 opened Nov 18, 2023 by nagataka
Deep reinforcement learning from human preferences Reinforcement Learning RLHF
#49 opened Sep 17, 2023 by nagataka
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation VLP (Vision-Language Pre-training)
#48 opened Sep 16, 2023 by nagataka
Disentangling Visual Embeddings for Attributes and Objects Computer Vision
#47 opened Nov 24, 2022 by nagataka
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning Dissertation Generative Model Reinforcement Learning Representation Learning Robotics
#46 opened Feb 24, 2022 by nagataka
Model-Based Reinforcement Learning for Atari Dissertation Model-Based RL Reinforcement Learning
#45 opened Jan 28, 2022 by nagataka
PILCO: A Model-Based and Data-Efficient Approach to Policy Search Dissertation Model-Based RL Policy Gradients Reinforcement Learning Robotics Uncertainty
#44 opened Jan 27, 2022 by nagataka
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Dissertation GAN Generative Model
#43 opened Dec 13, 2021 by nagataka
β-VAE: LEARNING BASIC VISUAL CONCEPTS WITH A CONSTRAINED VARIATIONAL FRAMEWORK Dissertation Generative Model Representation Learning
#42 opened Dec 10, 2021 by nagataka
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Model-Based RL Uncertainty
#41 opened Oct 27, 2021 by nagataka
Model-based reinforcement learning for biological sequence design Model-Based RL
#40 opened Oct 27, 2021 by nagataka
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Dissertation Uncertainty
#39 opened Oct 27, 2021 by nagataka
Selective Dyna-Style Planning Under Limited Model Capacity Model-Based RL
#38 opened Sep 14, 2021 by nagataka
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Explainability Reinforcement Learning
#37 opened Apr 7, 2021 by KarlXing
1
Learning Invariant Representations for Reinforcement Learning without Reconstruction Reinforcement Learning Representation Learning
#36 opened Apr 7, 2021 by KarlXing
1
AN IMPROVED MINIMUM ERROR ENTROPY CRITERION WITH SELF ADJUSTING STEP-SIZE
#35 opened Oct 4, 2020 by nagataka
Learning deep structured semantic models for web search using clickthrough data
#33 opened Jun 30, 2020 by nagataka
Learning Latent Dynamics for Planning from Pixels Model-Based RL Reinforcement Learning
#32 opened May 5, 2020 by nagataka
Autoencoding beyond pixels using a learned similarity metric Computer Vision Dissertation GAN Generative Model
#31 opened Nov 5, 2019 by nagataka
World Models Dissertation Evolutionary Algorithms Generative Model Model-Based RL Reinforcement Learning
#30 opened Oct 22, 2019 by nagataka
@nagataka
Adversarial Feature Matching for Text Generation
#29 opened Jul 18, 2019 by nagataka
ProTip! Adding no:label will show everything without a label.