papers | Deep Learning JP - Part 29

Transframer: Arbitrary Frame Prediction with Generative Models

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution (CVPR2022)

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach（KDD 2021）

ODT: Online Decision Transformer

Diffusion-based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Revisiting Deep Learning Models for Tabular Data (NeurIPS 2021) 表形式データに対するディープラーニングモデルの再整理

Autonomous Reinforcement Learning: Formalism and Benchmarking

A System for General In-Hand Object Re-Orientation

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