Skip to yearly menu bar Skip to main content


(15 events)   Timezone: America/Los_Angeles  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Mon May 03 03:00 AM -- 03:15 AM (PDT)
Dataset Condensation with Gradient Matching
In Oral Session 1
Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen
[ Paper ]
Oral
Mon May 03 03:15 AM -- 03:30 AM (PDT)
Free Lunch for Few-shot Learning: Distribution Calibration
In Oral Session 1
Shuo Yang · Lu Liu · Min Xu
[ Paper ]
Spotlight
Mon May 03 03:30 AM -- 03:40 AM (PDT)
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
In Oral Session 1
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
[ Paper ]
Spotlight
Mon May 03 03:40 AM -- 03:50 AM (PDT)
Generalization in data-driven models of primary visual cortex
In Oral Session 1
Konstantin-Klemens Lurz · Mohammad Bashiri · Konstantin Willeke · Akshay Jagadish · Eric Wang · Edgar Walker · Santiago Cadena · Taliah Muhammad · Erick M Cobos · Andreas Tolias · Alexander S Ecker · Fabian Sinz
[ Paper ]
Q&A
Mon May 03 03:50 AM -- 04:00 AM (PDT)
Q&A
In Oral Session 1
Oral
Mon May 03 04:00 AM -- 04:15 AM (PDT)
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
In Oral Session 1
David Klindt · Lukas Schott · Yash Sharma · Ivan Ustyuzhaninov · Wieland Brendel · Matthias Bethge · Dylan Paiton
[ Paper ]
Oral
Mon May 03 04:15 AM -- 04:30 AM (PDT)
A Distributional Approach to Controlled Text Generation
In Oral Session 1
Muhammad Khalifa · Hady Elsahar · Marc Dymetman
[ Paper ]
Spotlight
Mon May 03 04:30 AM -- 04:40 AM (PDT)
The Intrinsic Dimension of Images and Its Impact on Learning
In Oral Session 1
Phil Pope · Chen Zhu · Ahmed Abdelkader · Micah Goldblum · Tom Goldstein
[ Paper ]
Spotlight
Mon May 03 04:40 AM -- 04:50 AM (PDT)
How Benign is Benign Overfitting ?
In Oral Session 1
Amartya Sanyal · Puneet Dokania · Varun Kanade · Philip Torr
[ Paper ]
Q&A
Mon May 03 04:50 AM -- 05:00 AM (PDT)
Q&A
In Oral Session 1
Oral
Mon May 03 05:00 AM -- 05:15 AM (PDT)
Geometry-aware Instance-reweighted Adversarial Training
In Oral Session 1
Jingfeng Zhang · Jianing ZHU · Gang Niu · Bo Han · Masashi Sugiyama · Mohan Kankanhalli
[ Paper ]
Oral
Mon May 03 05:15 AM -- 05:30 AM (PDT)
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
In Oral Session 1
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
[ Paper ]
Oral
Mon May 03 05:30 AM -- 05:45 AM (PDT)
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
In Oral Session 1
Suraj Srinivas · François Fleuret
[ Paper ]
Spotlight
Mon May 03 05:45 AM -- 05:55 AM (PDT)
Contrastive Divergence Learning is a Time Reversal Adversarial Game
In Oral Session 1
Omer Yair · Tomer Michaeli
[ Paper ]
Q&A
Mon May 03 05:55 AM -- 06:05 AM (PDT)
Q&A
In Oral Session 1