Technology
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
Quantization of diffusion models has attracted considerable attention due to its potential to enable various applications on resource-constrained mobile devices.
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
However, such pessimism for out-of-sample data could be too restricted and sample inefficient, as not all out-of-sample(unseen) states are not generalizable [20].
Episodic Memory in Lifelong Language Learning
Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama
Neural Information Processing Systems http://nips.cc/
Fast and Effective Robustness Certification
Gagandeep Singh, Timon Gehr, Matthew Mirman, Markus Pรผschel, Martin Vechev
Neural Information Processing Systems http://nips.cc/
Transformer Doctor: Diagnosing and Treating Vision Transformers
Due to its powerful representational capabilities, Transformers have gradually become the mainstream model in the field of machine vision.
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
Neural Information Processing Systems http://nips.cc/