firstbacksecondback
21 Results
|
Poster
|
Tue 9:00 |
On Robust Multiclass Learnability Jingyuan Xu · Weiwei Liu |
|
|
Poster
|
Tue 9:00 |
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward Daejin Jo · Sungwoong Kim · Daniel Nam · Taehwan Kwon · Seungeun Rho · Jongmin Kim · Donghoon Lee |
|
|
Poster
|
Tue 9:00 |
A Theory of PAC Learnability under Transformation Invariances Han Shao · Omar Montasser · Avrim Blum |
|
|
Poster
|
Tue 14:00 |
Algorithms with Prediction Portfolios Michael Dinitz · Sungjin Im · Thomas Lavastida · Benjamin Moseley · Sergei Vassilvitskii |
|
|
Poster
|
Wed 14:00 |
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces Nilesh Gupta · Patrick Chen · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon |
|
|
Poster
|
Tue 14:00 |
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez · Teck-Yian Lim · Alex Schwing · Minh Do · Raymond A. Yeh |
|
|
Poster
|
Tue 14:00 |
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes Alkis Kalavasis · Grigoris Velegkas · Amin Karbasi |
|
|
Poster
|
Tue 9:00 |
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout SIQI WANG · Tee Hiang Cheng · Meng-Hiot Lim |
|
|
Poster
|
Wed 14:00 |
BayesPCN: A Continually Learnable Predictive Coding Associative Memory Jinsoo Yoo · Frank Wood |
|
|
Poster
|
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points Jing Tan · Xiaotong Zhao · Xintian Shi · Bin Kang · Limin Wang |
||
|
Poster
|
Thu 14:00 |
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang · Shixiang Chen · Xiangtai Li · Liang Xie · Zhouchen Lin · Dacheng Tao |
|
|
Poster
|
Tue 9:00 |
Is Out-of-Distribution Detection Learnable? Zhen Fang · Yixuan Li · Jie Lu · Jiahua Dong · Bo Han · Feng Liu |