Papers
Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou et al.
Joints in Random Forests
Alvaro Correia, Robert Peharz, Cassio P de Campos
Adversarial robustness via robust low rank representations
Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat et al.
Winning the Lottery with Continuous Sparsification
Pedro Savarese, Hugo Silva, Michael Maire
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
Ronald (James) Cotton, Fabian H. Sinz, Andreas Tolias
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama et al.
Smooth And Consistent Probabilistic Regression Trees
Sami Alkhoury, Emilie Devijver, Marianne Clausel et al.
Instance-based Generalization in Reinforcement Learning
Martin Bertran, Natalia Martinez, Mariano Phielipp et al.
Fairness constraints can help exact inference in structured prediction
Kevin Bello, Jean Honorio
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge, Feng Zhu, Dapeng Chen et al.
RD$^2$: Reward Decomposition with Representation Decomposition
Zichuan Lin, Derek Yang, Li Zhao et al.
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
Han Cai, Chuang Gan, Ligeng Zhu et al.
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
Jean Tarbouriech, Matteo Pirotta, Michal Valko et al.
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
Chaochao Yan, Qianggang Ding, Peilin Zhao et al.
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Chao Ma, Sebastian Tschiatschek, Richard Turner et al.
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong, Dongdong Chen, Jianmin Bao et al.
Metric-Free Individual Fairness in Online Learning
Yahav Bechavod, Christopher Jung, Steven Z. Wu
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sebastien Ehrhardt, Oliver Groth, Aron Monszpart et al.
Stage-wise Conservative Linear Bandits
Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
On Adaptive Distance Estimation
Yeshwanth Cherapanamjeri, Jelani Nelson
SnapBoost: A Heterogeneous Boosting Machine
Thomas Parnell, Andreea Anghel, Małgorzata Łazuka et al.
Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao, Ozan Sener
LoCo: Local Contrastive Representation Learning
Yuwen Xiong, Mengye Ren, Raquel Urtasun
Fine-Grained Dynamic Head for Object Detection
Lin Song, Yanwei Li, Zhengkai Jiang et al.