Papers
11,015 papers found
On the Convergence of Certified Robust Training with Interval Bound Propagation
Yihan Wang, Zhouxing Shi, Quanquan Gu et al.
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
ruinan Jin, Yu Xing, Xingkang He
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
Che Wang, Shuhan Yuan, Kai Shao et al.
On the Existence of Universal Lottery Tickets
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee et al.
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
Ziqiao Wang, Yongyi Mao
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson, Chuan Guo, Graham Cormode et al.
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari, Ehsan Saleh, David Forsyth et al.
On the Learning and Learnability of Quasimetrics
Tongzhou Wang, Phillip Isola
On the Limitations of Multimodal VAEs
Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong et al.
On the Optimal Memorization Power of ReLU Neural Networks
Gal Vardi, Gilad Yehudai, Ohad Shamir
On the Pitfalls of Analyzing Individual Neurons in Language Models
Omer Antverg, Yonatan Belinkov
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic et al.
On the relation between statistical learning and perceptual distances
Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez et al.
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti, András György, Marcus Hutter
On the role of population heterogeneity in emergent communication
Mathieu Rita, Florian Strub, Jean-Bastien Grill et al.
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Chu-Cheng Lin, Arya D. McCarthy
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang et al.
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze, Kai Han, Andrea Vedaldi et al.
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo et al.
Open-World Semi-Supervised Learning
Kaidi Cao, Maria Brbic, Jure Leskovec
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang, Jianhao Ding et al.
Optimal Representations for Covariate Shift
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Transport for Causal Discovery
Ruibo Tu, Kun Zhang, Hedvig Kjellstrom et al.
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Hanyu Peng, Mingming Sun, Ping Li
Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry, Stefanie Jegelka, Jonathan Kelner