Top ML Papers of the Week (Jan 30 - Feb 5)
1).?REPLUG?- a retrieval-augmented LM framework that adapts a retriever to a large-scale, black-box LM like GPT-3. (Paper | Tweet)
2).?Extracting Training Data from Diffusion Models -?shows that diffusion-based generative models can memorize images from the training data and emit them at generation time. (Paper | Tweet)
3). The FLAN Collection?- release a more extensive publicly available collection of tasks, templates, and methods to advancing instruction-tuned models. (Paper | Tweet)
4). Multimodal Chain-of-Though Reasoning?- incorporates vision features to elicit chain-of-thought reasoning in multimodality, enabling the model to generate effective rationales that contribute to answer inference. (Paper | Tweet)
5).?Dreamix?- a diffusion model that performs text-based motion and appearance editing of general videos. (Paper | Tweet)
7).?Mathematical Capabilities of ChatGPT?- investigates the mathematical capabilities of ChatGPT on a new holistic benchmark called GHOSTS. (Paper | Tweet)
8).?Training ‘Blind’ Agents?- trains an AI agent to navigate purely by feeling its way around; no use of vision, audio, or any other sensing (as in animals). (Paper | Tweet)
9).?SceneDreamer?- a generative model that synthesizes large-scale 3D landscapes from random noises. (Paper | Tweet)
10).?LLMs and irrelevant context?- finds that many prompting techniques fail when presented with irrelevant context for arithmetic reasoning. (Paper | Tweet)
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See you next week for another round of awesome ML papers!