Papers
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu, Markus N Rabe, Wenda Li et al.
Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan, Tengfei Ma, Liangcai Gao et al.
Lipschitz normalization for self-attention layers with application to graph neural networks
George Dasoulas, Kevin Scaman, Aladin Virmaux
Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor, He Sun
Local Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev et al.
Locally Adaptive Label Smoothing Improves Predictive Churn
Dara Bahri, Heinrich Jiang
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi et al.
Locally Private k-Means in One Round
Alisa Chang, Badih Ghazi, Ravi Kumar et al.
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Jiafan He, Dongruo Zhou, Quanquan Gu
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You, Yong Liu, Jianmin Wang et al.
Lossless Compression of Efficient Private Local Randomizers
Vitaly Feldman, Kunal Talwar
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory Benton, Wesley Maddox, Sanae Lotfi et al.
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Ning Liu, Geng Yuan, Zhengping Che et al.
Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M Yoshida, Takashi Takenouchi, Masashi Sugiyama
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag et al.
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Björck, Xiangyu Chen, Christopher De Sa et al.
Low-Rank Sinkhorn Factorization
Meyer Scetbon, Marco Cuturi, Gabriel Peyré
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor, Andrew C Li, Rodrigo A Toro Icarte et al.
Machine Unlearning for Random Forests
Jonathan Brophy, Daniel Lowd
Making Paper Reviewing Robust to Bid Manipulation Attacks
Ruihan Wu, Chuan Guo, Felix Wu et al.
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin, Mehdi Azabou, Eva Dyer
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen, Karan Goel, Nimit S Sohoni et al.
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Amnon Catav, Boyang Fu, Yazeed Zoabi et al.
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
Geng Ji, Debora Sujono, Erik B Sudderth