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:
Author:
Dayoung Gong, Joonseok Lee,
Deunsol Jung, Suha Kwak, Minsu Cho
——–
Title: Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Link:
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:
Author:
Alireza Fathollah Pour, Hassan Ashtiani
——–
Title: Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Link:
Author:
Gregory Dexter, Petros Drineas,
David P. Woodruff, Taisuke Yasuda
——–
Title: Equivariant Adaptation of Large Pretrained Models
Link:
Author:
Arnab Kumar Mondal, Siba Smarak Panigrahi,
Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh
——–
Title: Multi-Head Adapter Routing for Cross-Task Generalization
Link:
Author:
Lucas Caccia, Edoardo Ponti, Zhan Su,
Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
——–
Title: Geometry-Aware Adaptation for Pretrained Models
Link:
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:
Author: Miriam Barrabes, Daniel Mas Montserrat,
Margarita Geleta, Xavier Giro-i-Nieto, Alexander G. Ioannidis
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