NeurIPS 2023 Poster Session 4 (Thursday Morning)
OUTLINE: 0:30 - Activity Grammars for Temporal Action Segmentation 8:50 - Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback 17:05 - On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences 21:20 - Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming 27:10 - Equivariant Adaptation of Large Pretrained Models 33:10 - Multi-Head Adapter Routing for Cross-Task Generalization 39:25 - Geometry-Aware Adaptation for Pretrained Models 46:10 - Adversarial Learning for Feature Shift Detection and Correction Papers: Title: Activity Grammars for Temporal Action Segmentation Link: https://arxiv.org/abs/2312.04266 Author: Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho -------- Title: Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback Link: https://arxiv.org/abs/2311.16102 Author: Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki -------- Title: On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences Link: https://arxiv.org/abs/2305.18423 Author: Alireza Fathollah Pour, Hassan Ashtiani -------- Title: Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming Link: https://arxiv.org/abs/2310.19068 Author: Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda -------- Title: Equivariant Adaptation of Large Pretrained Models Link: https://arxiv.org/pdf/2310.01647.pdf Author: Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh -------- Title: Multi-Head Adapter Routing for Cross-Task Generalization Link: https://arxiv.org/abs/2211.03831 Author: Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni -------- Title: Geometry-Aware Adaptation for Pretrained Models Link: https://arxiv.org/abs/2307.12226 Author: Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala -------- Title: Adversarial Learning for Feature Shift Detection and Correction Link: https://arxiv.org/abs/2312.04546 Author: Miriam Barrabes, Daniel Mas Montserrat, Margarita Geleta, Xavier Giro-i-Nieto, Alexander G. Ioannidis Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ykilcher.com/discord LinkedIn: https://www.linkedin.com/in/ykilcher If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
