Papers
11,015 papers found
Exploiting Class Activation Value for Partial-Label Learning
Fei Zhang, Lei Feng, Bo Han et al.
Exploring extreme parameter compression for pre-trained language models
Benyou Wang, Yuxin Ren, Lifeng Shang et al.
Exploring Memorization in Adversarial Training
Yinpeng Dong, Ke Xu, Xiao Yang et al.
Exploring the Limits of Large Scale Pre-training
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur et al.
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts, Juan L Reutter
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo, Yi Ren, Kory Wallace Mathewson et al.
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi, Yi Tay, Tal Schuster et al.
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa, Pang Wei Koh, Tony Lee et al.
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Qing Jin, Jian Ren, Richard Zhuang et al.
FairCal: Fairness Calibration for Face Verification
Tiago Salvador, Stephanie Cairns, Vikram Voleti et al.
Fairness Guarantees under Demographic Shift
Stephen Giguere, Blossom Metevier, Bruno Castro da Silva et al.
Fair Normalizing Flows
Mislav Balunovic, Anian Ruoss, Martin Vechev
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Lingjie Mei, Jiayuan Mao, Ziqi Wang et al.
Fast AdvProp
Jieru Mei, Yucheng Han, Yutong Bai et al.
Fast Differentiable Matrix Square Root
Yue Song, Nicu Sebe, Wei Wang
Fast Generic Interaction Detection for Model Interpretability and Compression
Tianjian Zhang, Feng Yin, Zhi-Quan Luo
Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut et al.
Fast Regression for Structured Inputs
Raphael A Meyer, Cameron N Musco, Christopher P Musco et al.
FastSHAP: Real-Time Shapley Value Estimation
Neil Jethani, Mukund Sudarshan, Ian Connick Covert et al.
Fast topological clustering with Wasserstein distance
Tananun Songdechakraiwut, Bryan M Krause, Matthew I Banks et al.
Feature Kernel Distillation
Bobby He, Mete Ozay
FedBABU: Toward Enhanced Representation for Federated Image Classification
Jaehoon Oh, SangMook Kim, Se-Young Yun
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti et al.