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200 | 1,528,904,484,553,900,000 | Scaling Laws and Interpretability of Learning from Repeated Data
abs: https://t.co/UbSQazzMwa
performance of 800M… https://t.co/4HHdSCe8ZT | Scaling Laws and Interpretability of Learning from Repeated Data | 46 |
201 | 1,528,851,863,306,752,000 | Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
project page:… https://t.co/5yJZQIqMdn | Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding | 2,724 |
202 | 1,528,584,642,407,841,800 | Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
abs: https://t.co/rE7gjT0COx https://t.co/EtbaT2jTle | Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning | 116 |
203 | 1,528,576,691,152,494,600 | Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
abs: https://t.co/bXqr4sP1V4
github:… https://t.co/efonU0Az1m | Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors | 59 |
204 | 1,528,569,396,456,829,000 | Why GANs are overkill for NLP
abs: https://t.co/zwjCFxh22z https://t.co/tuM1ufFC7x | Why GANs are overkill for NLP | 139 |
205 | 1,528,555,058,916,429,800 | Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
abs: https://t.co/7bmGFXe47E
github:… https://t.co/bXfTVfP56t | Lossless Acceleration for Seq2seq Generation with Aggressive Decoding | 48 |
206 | 1,528,541,664,561,844,200 | Planning with Diffusion for Flexible Behavior Synthesis
abs: https://t.co/HSoQhC6WBV
project page:… https://t.co/PA69vLOYmb | Planning with Diffusion for Flexible Behavior Synthesis | 119 |
207 | 1,527,765,335,528,591,400 | Disentangling Visual Embeddings for Attributes and Objects
abs: https://t.co/QlDsekM1rH https://t.co/YfsJGNzjlX | Disentangling Visual Embeddings for Attributes and Objects | 253 |
208 | 1,527,452,603,264,733,200 | RankGen: Improving Text Generation with Large Ranking Models
abs: https://t.co/uVVfXNnZeR
github:… https://t.co/GfRxgf4hKe | RankGen: Improving Text Generation with Large Ranking Models | 37 |
209 | 1,527,450,826,343,604,200 | Robust and Efficient Medical Imaging with Self-Supervision
abs: https://t.co/oBqk2TTp73
strategy leads to strong d… https://t.co/ptwGGG2NkL | Robust and Efficient Medical Imaging with Self-Supervision | 45 |
210 | 1,527,097,137,825,202,200 | Masked Autoencoders As Spatiotemporal Learners
abs: https://t.co/MWlK2uV6qF
MAE method can learn strong representa… https://t.co/KX2kb7Zf0m | Masked Autoencoders As Spatiotemporal Learners | 288 |
211 | 1,527,092,033,374,113,800 | Meta-Learning Sparse Compression Networks
abs: https://t.co/pDKyAXyGmg https://t.co/ExJQyGQefn | Meta-Learning Sparse Compression Networks | 34 |
212 | 1,526,825,242,026,512,400 | An Empirical Investigation of Representation Learning for Imitation
abs: https://t.co/P6C15OJ0ft https://t.co/C0PcBJ72kH | An Empirical Investigation of Representation Learning for Imitation | 40 |
213 | 1,526,798,231,191,048,200 | Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
abs: https://t.co/kKjj0oKSyE https://t.co/bk1DPxlwZ9 | Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space | 49 |
214 | 1,526,738,002,621,472,800 | SKILL: Structured Knowledge Infusion for Large Language Models
abs: https://t.co/vbExGmg4hx https://t.co/3hVTWxLVE1 | SKILL: Structured Knowledge Infusion for Large Language Models | 46 |
215 | 1,526,435,187,093,123,000 | FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
abs:… https://t.co/qG4s6MlGmd | FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization | 46 |
216 | 1,526,428,632,868,167,700 | PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning
abs: https://t.co/JTAU1vnmst https://t.co/fyonWO1rKa | PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning | 45 |
217 | 1,526,373,200,183,033,900 | Diffusion Models for Adversarial Purification
abs: https://t.co/VdSXsTahOY https://t.co/lFxumNcuIj | Diffusion Models for Adversarial Purification | 135 |