ICML2023_papers

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hysts HF Staff commited on Jul 25, 2023

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Add BLIP-2 links

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@@ -1244,7 +1244,7 @@ Meta Optimal Transport,"Brandon Amos, Giulia Luise, samuel cohen, Ievgen Redko",
 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models,"Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Chris De Sa, Volodymyr Kuleshov",http://arxiv.org/abs/2306.08757,,https://huggingface.co/papers/2306.08757,,,,2306.08757,7,0
 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks,"Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Chris De Sa, Christopher Re, Ce Zhang",,,,,,,,,
 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning,"Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2304.12824,,https://huggingface.co/papers/2304.12824,,,,2304.12824,6,0
-BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,"Junnan Li, DONGXU LI, Silvio Savarese, Steven Hoi",,,,,,,,,
 The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu",http://arxiv.org/abs/2303.08433,,https://huggingface.co/papers/2303.08433,,,,2303.08433,4,0
 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks,"Salah GHAMIZI, Jingfeng ZHANG, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, YVES LE TRAON",http://arxiv.org/abs/2302.02907,,https://huggingface.co/papers/2302.02907,,,,2302.02907,6,0
 Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,1

 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models,"Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Chris De Sa, Volodymyr Kuleshov",http://arxiv.org/abs/2306.08757,,https://huggingface.co/papers/2306.08757,,,,2306.08757,7,0
 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks,"Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Chris De Sa, Christopher Re, Ce Zhang",,,,,,,,,
 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning,"Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2304.12824,,https://huggingface.co/papers/2304.12824,,,,2304.12824,6,0
+BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,"Junnan Li, DONGXU LI, Silvio Savarese, Steven Hoi",https://arxiv.org/abs/2301.12597,https://github.com/salesforce/LAVIS/tree/main/projects/blip2,https://huggingface.co/papers/2301.12597,https://huggingface.co/spaces/Salesforce/BLIP2,https://huggingface.co/Salesforce/blip2-flan-t5-xxl,,2301.12597,4,0
 The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu",http://arxiv.org/abs/2303.08433,,https://huggingface.co/papers/2303.08433,,,,2303.08433,4,0
 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks,"Salah GHAMIZI, Jingfeng ZHANG, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, YVES LE TRAON",http://arxiv.org/abs/2302.02907,,https://huggingface.co/papers/2302.02907,,,,2302.02907,6,0
 Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,1