Publication ATS: Adaptive Token Sampling For Efficient Vision Transformers Mohsen Fayyaz, Soroush Abbasi Kouhpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Vaezi Joze, Hamed Pirsiavash, Juergen Gall arXiv:2111.15667 | December 2021
Publication Towards optimally abstaining from prediction with OOD test examples Adam Tauman Kalai, Varun Kanade NeurIPS 2021 | December 2021
Publication On the Theory of Reinforcement Learning with Once-per-Episode Feedback Niladri Chatterji, Aldo Pacchiano, Peter Bartlett, Michael Jordan NeurIPS 2021 | December 2021
Publication Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection Morgane Austern, Vasilis Syrgkanis NeurIPS 2021 | December 2021
Publication PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen NeurIPS 2021 | December 2021
Publication Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt December 2021
Publication Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, , Xiao Tu NeurIPS 2021 | December 2021
Publication Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desislava Ivanova, Adam Foster, Steven Kleinegesse, Michael Gutmann, Thomas Rainforth NeurIPS 2021 | December 2021
Publication Do Input Gradients Highlight Discriminative Features? Harshay Shah, Prateek Jain, Praneeth Netrapalli NeurIPS 2021 | December 2021
Publication A single gradient step finds adversarial examples on random two-layers neural networks Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes NeurIPS 2021 | December 2021