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Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, technological and societal landscape through their superhuman capabilities.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Earlier work this paper cites.
Mastering chess and shogi by self-play with a general reinforcement learning algorithm
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2017
Earlier work this paper cites.
Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
Earlier work this paper cites.
Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 2017
Earlier work this paper cites.
A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2018
Earlier work this paper cites.
Expanding the medicinal chemistry synthetic toolbox
Jonas Boström, Dean G Brown, Robert J Young, and György M Keserü · 2018
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Turning your weakness into a strength: Watermarking deep neural networks by backdooring
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet · 2018
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Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks
Bita Darvish Rouhani, Huili Chen, and Farinaz Koushanfar · 2019
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Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks
Lixin Fan, Kam Woh Ng, and Chee Seng Chan · 2019
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Fast and flexible protein design using deep graph neural networks
Alexey Strokach, David Becerra, Carles Corbi-Verge, Albert Perez-Riba, and Philip M Kim · 2020
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Rethinking drug design in the artificial intelligence era
Petra Schneider, W Patrick Walters, Alleyn T Plowright, Norman Sieroka, Jennifer Listgarten, Robert A Goodnow Jr, Jasmin Fisher, Johanna M Jansen, José S Duca, Thomas S Rush, et al · 2020
Earlier work this paper cites.
Highly accurate protein structure prediction with alphafold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, et al · 2021
Earlier work this paper cites.
Protein complex prediction with alphafold-multimer
Richard Evans, Michael O’Neill, Alexander Pritzel, Natasha Antropova, Andrew Senior, Tim Green, Augustin Žídek, Russ Bates, Sam Blackwell, Jason Yim, et al · 2021
Earlier work this paper cites.
Dawn: Dynamic adversarial watermarking of neural networks
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, and N Asokan · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, et al · 2022
Cited alongside, same era.
Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
Cited alongside, same era.
Great power, great responsibility: Recommendations for reducing energy for training language models
Joseph McDonald, Baolin Li, Nathan Frey, Devesh Tiwari, Vijay Gadepally, and Siddharth Samsi · 2022
Cited alongside, same era.
Trust-free service measurement and payments for decentralized cellular networks
SVR Anand, Serhat Arslan, Rajat Chopra, Sachin Katti, Milind Kumar Vaddiraju, Ranvir Rana, Peiyao Sheng, Himanshu Tyagi, and Pramod Viswanath · 2022
Cited alongside, same era.
https://github.com/isa-group/SLA4OAI-Specification
The next generation of ai for developers and google workspace
Google Cloud · 2023
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https://www.midjourney.com
Midjourney · 2023
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Musiclm: Generating music from text
Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, et al · 2023
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Transforming work and creativity with ai
OpenAI · 2023
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Powerful language models a click away
Forefront · 2023
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When machines become thought partners
AI21 Labs · 2023
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Sla4oai-specification · 2022
Cited alongside, same era.
Scaling up trustless dnn inference with zero-knowledge proofs
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, and Yi Sun · 2022
Cited alongside, same era.
Sok: How robust is image classification deep neural network watermarking?
Nils Lukas, Edward Jiang, Xinda Li, and Florian Kerschbaum · 2022
Cited alongside, same era.
Roomba robot vacuums
iRobot · 2023
Cited alongside, same era.
The most dynamic humanoid robot
Boston Dynamics · 2023
Cited alongside, same era.
Gpt-4 technical report, 2023
OpenAI · 2023
Cited alongside, same era.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Cited alongside, same era.
Retrieved March 14, 2023, from https://openai.com/blog/chatgpt
Introducing chatgpt, 2022 · 2023
Cited alongside, same era.
Witness Chain team · 2023
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https://www.eigenlayer.xyz/
Eigenlayer · 2023
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The stable signature: Rooting watermarks in latent diffusion models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, and Teddy Furon · 2023
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A recipe for watermarking diffusion models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin · 2023
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Undetectable watermarks for language models
Miranda Christ, Sam Gunn, and Or Zamir · 2023
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A watermark for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
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Rethinking white-box watermarks on deep learning models under neural structural obfuscation
Yifan Yan, Xudong Pan, Mi Zhang, and Min Yang · 2023
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False claims against model ownership resolution
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, and N Asokan · 2023
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