Papers
Zero-Regret Performative Prediction Under Inequality Constraints
Wenjing YAN, Xuanyu Cao
Zero-Shot Anomaly Detection via Batch Normalization
Aodong Li, Chen Qiu, Marius Kloft et al.
Zero-shot causal learning
Hamed Nilforoshan, Michael Moor, Yusuf Roohani et al.
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
Lin Li, Jun Xiao, Guikun Chen et al.
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
Fivos Kalogiannis, Ioannis Panageas
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
Yuyang Qiu, Uday Shanbhag, Farzad Yousefian
ZipLM: Inference-Aware Structured Pruning of Language Models
Eldar Kurtić, Elias Frantar, Dan Alistarh
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
Yutong Kou, Jin Gao, Bing Li et al.
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
Kumar K Agrawal, Arnab Kumar Mondal, Arna Ghosh et al.
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
Ziv Goldfeld, Kristjan Greenewald, Theshani Nuradha et al.
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu et al.
3DB: A Framework for Debugging Computer Vision Models
Guillaume Leclerc, Hadi Salman, Andrew Ilyas et al.
3D Concept Grounding on Neural Fields
Yining Hong, Yilun Du, Chunru Lin et al.
3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang, Matthias Niessner, Peter Wonka
3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
4D Unsupervised Object Discovery
Yuqi Wang, Yuntao Chen, ZHAO-XIANG ZHANG
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu, Guanghui Zhu, Changhua Meng et al.
A Benchmark for Compositional Visual Reasoning
Aimen Zerroug, Mohit Vaishnav, Julien Colin et al.
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
A Boosting Approach to Reinforcement Learning
Nataly Brukhim, Elad Hazan, Karan Singh
A Causal Analysis of Harm
Sander Beckers, Hana Chockler, Joseph Halpern
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng, Feng Zhou, Jun Zhu
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
Dmitry Kovalev, Alexander Gasnikov, Peter Richtarik
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara, Ching-pei Lee
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma, Varun Shankar