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Publication search results
found 216 matches
- 2022
- Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain:
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022) - Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. 2022 (2022) - James Urquhart Allingham, Florian Wenzel, Zelda E. Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin
, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton:
Sparse MoEs meet Efficient Ensembles. Trans. Mach. Learn. Res. 2022 (2022) - Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil:
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. Trans. Mach. Learn. Res. 2022 (2022) - David Alvarez-Melis, Yair Schiff, Youssef Mroueh:
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs:
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. Trans. Mach. Learn. Res. 2022 (2022) - Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee, Omar Magdy, Senthilkumar Kathiresan, Bahram Zonooz:
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey. Trans. Mach. Learn. Res. 2022 (2022) - Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi:
Collaborative Algorithms for Online Personalized Mean Estimation. Trans. Mach. Learn. Res. 2022 (2022) - Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. Trans. Mach. Learn. Res. 2022 (2022) - Marco Bagatella, Sammy Joe Christen, Otmar Hilliges:
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - Carlo Baldassi:
Systematically and efficiently improving $k$-means initialization by pairwise-nearest-neighbor smoothing. Trans. Mach. Learn. Res. 2022 (2022) - Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang':
How Expressive are Transformers in Spectral Domain for Graphs? Trans. Mach. Learn. Res. 2022 (2022) - Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen:
Equivariant Mesh Attention Networks. Trans. Mach. Learn. Res. 2022 (2022) - Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Identifying Causal Structure in Dynamical Systems. Trans. Mach. Learn. Res. 2022 (2022) - Philipp Becker, Gerhard Neumann:
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - Gabriel Bénédict, Hendrik Vincent Koops, Daan Odijk, Maarten de Rijke:
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. Trans. Mach. Learn. Res. 2022 (2022) - Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker:
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. Trans. Mach. Learn. Res. 2022 (2022) - Vanessa M. Boehm, Uros Seljak:
Probabilistic Autoencoder. Trans. Mach. Learn. Res. 2022 (2022) - Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz:
Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. 2022 (2022) - Florian Bordes, Randall Balestriero, Pascal Vincent:
High Fidelity Visualization of What Your Self-Supervised Representation Knows About. Trans. Mach. Learn. Res. 2022 (2022) - Alberto Bordino, Stefano Favaro, Sandra Fortini:
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions. Trans. Mach. Learn. Res. 2022 (2022) - Valentin De Bortoli:
Convergence of denoising diffusion models under the manifold hypothesis. Trans. Mach. Learn. Res. 2022 (2022) - Joey Bose, Ricardo Pio Monti, Aditya Grover:
Controllable Generative Modeling via Causal Reasoning. Trans. Mach. Learn. Res. 2022 (2022) - Adam Breitholtz, Fredrik D. Johansson:
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks. Trans. Mach. Learn. Res. 2022 (2022) - Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega:
Your Policy Regularizer is Secretly an Adversary. Trans. Mach. Learn. Res. 2022 (2022) - Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Decoder Denoising Pretraining for Semantic Segmentation. Trans. Mach. Learn. Res. 2022 (2022) - Aysegul Bumin, Kejun Huang:
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation. Trans. Mach. Learn. Res. 2022 (2022) - Chenjie Cao, Xinlin Ren, Yanwei Fu:
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth. Trans. Mach. Learn. Res. 2022 (2022) - Alberto Caron, Ioanna Manolopoulou, Gianluca Baio:
Counterfactual Learning with Multioutput Deep Kernels. Trans. Mach. Learn. Res. 2022 (2022) - Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil:
Multitask Online Mirror Descent. Trans. Mach. Learn. Res. 2022 (2022)
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