|
Poster
|
Thu 16:30
|
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
Dixian Zhu · Yiming Ying · Tianbao Yang
|
|
|
Poster
|
Thu 13:30
|
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Dirk van der Hoeven · Ciara Pike-Burke · Hao Qiu · Nicolò Cesa-Bianchi
|
|
|
Poster
|
Wed 14:00
|
Fair and Optimal Classification via Post-Processing
Ruicheng Xian · Lang Yin · Han Zhao
|
|
|
Poster
|
Wed 17:00
|
Computational Asymmetries in Robust Classification
Samuele Marro · Michele Lombardi
|
|
|
Poster
|
Tue 14:00
|
Causal Strategic Classification: A Tale of Two Shifts
Guy Horowitz · Nir Rosenfeld
|
|
|
Oral
|
Wed 20:04
|
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Yishay Mansour · Richard Nock · Robert C. Williamson
|
|
|
Poster
|
Tue 17:00
|
Adversarial Classification: Necessary Conditions and Geometric Flows
Nicolas Garcia Trillos · Ryan Murray
|
|
|
Workshop
|
|
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander Li · Mihir Prabhudesai · Shivam Duggal · Ellis Brown · Deepak Pathak
|
|
|
Affinity Workshop
|
Mon 19:15
|
Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification
Pablo Rivas · Mehang Rai
|
|
|
Workshop
|
|
Interpretable Alzheimer’s Disease Classification Via a Contrastive Diffusion Autoencoder.
Ayodeji Ijishakin · Ahmed Abdulaal · Adamos Hadjivasiliou · Sophie Martin · James Cole
|
|
|
Workshop
|
|
What Works in Chest X-Ray Classification? A Case Study of Design Choices
Evan Vogelbaum · Logan Engstrom · Aleksander Madry
|
|
|
Workshop
|
|
Test-time Adaptation with Diffusion Models
Mihir Prabhudesai · Tsung-Wei Ke · Alexander Li · Deepak Pathak · Katerina Fragkiadaki
|
|
