Tunable sorting for responsive robustness and beyond!
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Updated
Jun 4, 2024 - Haskell
Tunable sorting for responsive robustness and beyond!
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
RAID is the largest and most challenging benchmark for machine-generated text detectors. (ACL 2024)
Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking
Reachability analysis for closed-loop control systems in Julia
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
[CVPR' 24] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
Benchmarking Generalized Out-of-Distribution Detection
An in-depth performance profiling library for machine learning models
Parseval Networks and Adversarial Examples
Reproducibility code for Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim
dckernel package implementing dcMMD and dcHSIC from Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim
Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.
[IVS'24] UniBEV: the official implementation of UniBEV
A curated list of trustworthy deep learning papers. Daily updating...
A repository and benchmark for online test-time adaptation.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
The code of paper "Robust Computation of Implicit Surface Networks for Piecewise Linear Functions" (SIGGRAPH 2022)
DPLL(T)-based Verification tool for DNNs
Robust Reinforcement Learning Benchmark
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