Country
Towards Robust Detection of Adversarial Examples
Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu
Neural Information Processing Systems http://nips.cc/
Learning to Optimize in Swarms
Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
Neural Information Processing Systems http://nips.cc/
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze
Neural Information Processing Systems http://nips.cc/
Invertibility of Convolutional Generative Networks from Partial Measurements
Fangchang Ma, Ulas Ayaz, Sertac Karaman
Neural Information Processing Systems http://nips.cc/
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
We contend that utilizing existing relational databases is a promising approach to construct a benchmark that has both merits.
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi, Nisheeth Vishnoi
Neural Information Processing Systems http://nips.cc/
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Table 2 shows PRNetbehavesmore others.
Quilt-1M: One Million Image-Text Pairs for Histopathology Wisdom O. Ikezogwo
Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online.
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm Van Seijen, Mehdi Fatemi, Arash Tavakoli
Weproveconvergence for this method under standard assumptions and demonstrate empirically that it indeed enables lowerdiscount factors forapproximate reinforcement-learning methods.