Papers
Joints in Random Forests
Alvaro Correia, Robert Peharz, Cassio P de Campos
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, Jiquan Ngiam, Yanping Huang et al.
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Hu Liu, Jing LU, Xiwei Zhao et al.
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot, Berfin Simsek, Francesco Spadaro et al.
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu, Chang Xu, Xinghao Chen et al.
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin, Peter E. Latham
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco et al.
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering
Elfarouk Harb, Ho Shan Lam
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
Zijun Cui, Tengfei Song, Yuru Wang et al.
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Guangda Ji, Zhanxing Zhu
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Zhiyuan Xu, Kun Wu, Zhengping Che et al.
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen, Hangfeng He, Weijie Su
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki Asano, Mandela Patrick, Christian Rupprecht et al.
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong, Cristian Rodriguez, Yuankai Qi et al.
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
Cédric Colas, Tristan Karch, Nicolas Lair et al.
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis, Joseph P. Campbell, Mariano Phielipp et al.
Language Models are Few-Shot Learners
Tom Brown, Benjamin Mann, Nick Ryder et al.
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Alex Tamkin, Dan Jurafsky, Noah Goodman
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi et al.
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan, Yen-Chun Chen, Linjie Li et al.
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy, Yair Carmon, John C. Duchi et al.
Latent Bandits Revisited
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Heejong Bong, Zongge Liu, Zhao Ren et al.
Latent Template Induction with Gumbel-CRFs
Yao Fu, Chuanqi Tan, Bin Bi et al.