Topic: "robustness"
supikiti/PNCC
A implementation of Power Normalized Cepstral Coefficients: PNCC
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 47 - Forks: 10
archiki/Robust-E2E-ASR
This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.
Language: Python - Size: 141 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 46 - Forks: 10
ZhaoyangLyu/POPQORN
An Algorithm to Quantify Robustness of Recurrent Neural Networks
Language: Python - Size: 3.58 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 46 - Forks: 11
JuliaReach/ClosedLoopReachability.jl
Reachability analysis for closed-loop control systems in Julia
Language: Polar - Size: 7.62 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 45 - Forks: 3
sayakpaul/Generalized-ODIN-TF
TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).
Language: Jupyter Notebook - Size: 511 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 45 - Forks: 5
vita-epfl/ttt-plus-plus
[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
Language: Python - Size: 800 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 44 - Forks: 3
chirag-agarwall/nifty
Code for paper https://arxiv.org/abs/2102.13186
Language: Python - Size: 12.7 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 13
jfc43/informative-outlier-mining
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.
Language: Python - Size: 2.66 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 43 - Forks: 10
garyzhao/ME-ADA
"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 5
JerryX1110/Robust-Video-Object-Segmentation
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
Language: Python - Size: 4.79 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 42 - Forks: 6
danielzuegner/robust-gcn
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 42 - Forks: 12
dawnyc/ROMTrack
[ICCV 2023] Robust Object Modeling for Visual Tracking, Official Implementation
Language: Python - Size: 5.96 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 41 - Forks: 2
chenshuang-zhang/imagenet_d
[CVPR 2024 Highlight] ImageNet-D
Language: Python - Size: 49.3 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 41 - Forks: 5
ryuryukke/OUTFOX
[AAAI 2024] The official repository for our paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"
Language: Python - Size: 82.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 40 - Forks: 4
bethgelab/adversarial-vision-challenge
NIPS Adversarial Vision Challenge
Language: Python - Size: 23.9 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 40 - Forks: 12
moucheng2017/EM-BPL-Semi-Seg
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Language: Python - Size: 4.25 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 39 - Forks: 1
henry8527/GCE
[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
Language: Python - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 39 - Forks: 2
nmndeep/revisiting-at
[NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"
Language: Python - Size: 1.14 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 38 - Forks: 3
dvlab-research/LBGAT
Learnable Boundary Guided Adversarial Training (ICCV2021)
Language: Python - Size: 910 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 36 - Forks: 2
UKPLab/mdl-stance-robustness
Multi-dataset stance detection and robustness experiments
Language: Python - Size: 480 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 12
bfshi/VARS
Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
Language: Python - Size: 1.02 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 35 - Forks: 2
specto-dev/belay
Robust error-handling for Kotlin and Android
Language: Kotlin - Size: 320 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 35 - Forks: 3
Lingkai-Kong/Calibrated-BERT-Fine-Tuning
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Language: Python - Size: 20 MB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 35 - Forks: 3
MrChenFeng/MaskCon_CVPR2023
MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
Language: Python - Size: 11.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 34 - Forks: 6
aiaudit-org/raw2logit
In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578
Language: Python - Size: 18.8 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 34 - Forks: 5
YisenWang/dynamic_adv_training
Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 34 - Forks: 7
BorealisAI/mma_training
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Language: Python - Size: 336 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 34 - Forks: 11
dobriban/Principles-of-AI-LLMs
Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.
Size: 238 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 33 - Forks: 2
SamsungLabs/gps-augment
Simple but high-performing method for learning a policy of test-time augmentation
Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 1
keonlee9420/Comprehensive-Tacotron2
PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
Language: Python - Size: 130 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 8
dvlab-research/Robust-Semantic-Segmentation
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）
Language: Python - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 30 - Forks: 4
deel-ai/deel-torchlip
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
Language: Python - Size: 5.46 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 29 - Forks: 2
weijiaheng/Drops
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
Language: Python - Size: 924 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 0
LFhase/GIA-HAO
[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Language: Python - Size: 7.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2
jameszhou-gl/gpt-4v-distribution-shift
Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"
Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 2
jmaces/robust-nets
Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).
Language: Python - Size: 129 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 28 - Forks: 5
zjunlp/DiagnoseRE
Source code and dataset for the CCKS2021 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"
Language: Python - Size: 13.3 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 6
jh-jeong/smoothing-consistency
Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)
Language: Python - Size: 13.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 3
zhongyy/Adversarial_MTER
Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》
Language: Python - Size: 344 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 28 - Forks: 4
LPD-EPFL/byzfl
ByzFL: A Python library for robust federated learning, offering Byzantine-resilient aggregators, attack simulations, and ML pipelines for distributed systems. Compatible with PyTorch and NumPy.
Language: Python - Size: 12.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 27 - Forks: 0
gaussalgo/adaptor
ACL 2022: Adaptor: a library to easily adapt a language model to your own task, domain, or custom objective(s).
Language: Jupyter Notebook - Size: 853 KB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 27 - Forks: 4
ENSTA-U2IS-AI/MUAD-Dataset
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
Language: Python - Size: 72.3 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 27 - Forks: 1
DAMO-DI-ML/KDD2022-Tutorial-Time-Series
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
Size: 484 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 3
princeton-nlp/rationale-robustness
NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
Language: Python - Size: 21.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 1
KaidiXu/Beta-CROWN
β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification
Size: 10.5 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 6
MotasemAlfarra/Online_Test_Time_Adaptation
Revisiting Test Time Adaptation Under Online Evaluation
Language: Python - Size: 598 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 2
Heathcliff-saku/ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Language: Python - Size: 13 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 2
AlCorreia/GeFs
Generative Forests in Python
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 5
illidanlab/SplitMix
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
Language: Python - Size: 648 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 8
MLI-lab/Robustness-CS
Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 4
AIprogrammer/AdvMix
Official code for our CVPR 2021 paper: "When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks".
Language: Cuda - Size: 5.69 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 8
juliagusak/neural-ode-metasolver
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
Language: Python - Size: 15.1 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 1
Core-Bioinformatics/ClustAssess
Tools for assessing clustering robustness
Language: R - Size: 56.8 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 24 - Forks: 4
lucidrains/GAF-microbatch-pytorch
Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
Language: Python - Size: 146 KB - Last synced at: 27 days ago - Pushed at: 4 months ago - Stars: 24 - Forks: 0
sfu-dis/optiql
Optimistic queue-based reader-writer lock for robust index synchronization (SIGMOD 2024)
Language: C++ - Size: 3.29 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 1
kaiwenzha/contrastive-poisoning
[ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Language: Python - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 1
VITA-Group/triple-wins
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
Language: Python - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 7
chenhongge/SA_DQN
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
Language: Python - Size: 3.02 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 8
poloclub/robust-principles
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Language: Python - Size: 800 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 5
keonlee9420/Stepwise_Monotonic_Multihead_Attention
PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS
Language: Python - Size: 859 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 6
tubanlee/REDS_Mean
Robust estimations from distribution structures: Mean.
Language: R - Size: 6.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 3
tubanlee/REDS_Invariant_Moments
Robust estimations from distribution structures: Invariant moments.
Language: R - Size: 22.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 2
j991222/MIMO_JCESD
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection
Language: Python - Size: 134 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 21 - Forks: 4
illidanlab/FedRBN
[AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Language: Python - Size: 512 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 1
jh-jeong/smoothmix
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
Language: Roff - Size: 16.8 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3
alexfanjn/multi-objective-attack-power-grid
The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".
Language: Python - Size: 1.51 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 21 - Forks: 1
OODRobustBench/OODRobustBench
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
Language: Python - Size: 2.06 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 20 - Forks: 1
sayakpaul/Denoised-Smoothing-TF
Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 1
nikitadurasov/torch-ttt
A modular and easy-to-use framework for Test-Time Training (TTT) and Test-Time Adaptation (TTA) in Pytorch, making your networks more generalizable with minimal effort ✨
Language: Python - Size: 5.56 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 19 - Forks: 0
BBVA/mercury-robust
mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.
Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 19 - Forks: 0
alexklwong/stereoscopic-universal-perturbations
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Language: Python - Size: 44 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 0
rhesis-ai/rhesis-sdk
Open-source test generation SDK for LLM applications. Access curated test sets. Build context-specific test sets and collaborate with subject matter experts.
Language: Python - Size: 420 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 18 - Forks: 0
google-research/active-adversarial-tests
Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"
Language: Python - Size: 5.78 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 18 - Forks: 3
shashankkotyan/RobustArchitectureSearch
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 1
yangarbiter/adversarial-nonparametrics
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Language: Python - Size: 42.4 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 4
EnyanDai/RSGNN
An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
Language: Python - Size: 7.03 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 4
shahrukhx01/bert-probe
BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level attacks.
Language: Jupyter Notebook - Size: 43.8 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 3
ffoissey/malloc_protection_checker
C Malloc Protection Checker
Language: Shell - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 0
kaBeech/tensort
Tunable sorting for responsive robustness and beyond
Language: Haskell - Size: 3.26 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 17 - Forks: 0
msalibian/RobStatTM
Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"
Language: R - Size: 9.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 17 - Forks: 7
aeturrell/specification_curve
Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.
Language: Python - Size: 4.13 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 4
MarcelRobeer/explabox
Explore/examine/explain/expose your model with the explabox!
Language: Python - Size: 3.05 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 0
cvlab-epfl/iter_unc
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
Language: Jupyter Notebook - Size: 8.37 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 16 - Forks: 1
youpengl/FedCHAR
[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
Language: Python - Size: 9.37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4
yandex-research/structural-graph-shifts
New structural distributional shifts for evaluating graph models
Language: Python - Size: 199 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0
aileenproject/aileen-core
Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.
Language: Python - Size: 489 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3
huanzhang12/SA_PPO
[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
Language: Python - Size: 19.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 3
cmu-transparency/aaai-2021-tutorial
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
Size: 22.8 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 2
dynaroars/neuralsat
DPLL(T)-based Verification tool for DNNs
Language: Python - Size: 627 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 15 - Forks: 1
deep-spin/robust_MT_evaluation
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
Language: Jupyter Notebook - Size: 821 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 0
DataResponsibly/Virny
An in-depth performance profiling library for machine learning models
Language: Python - Size: 52 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 3
duxingyi-charles/Robust-Implicit-Surface-Networks
The code of paper "Robust Computation of Implicit Surface Networks for Piecewise Linear Functions" (SIGGRAPH 2022)
Language: C++ - Size: 1020 KB - Last synced at: 22 days ago - Pushed at: 7 months ago - Stars: 14 - Forks: 7
HillZhang1999/RobustGEC
Code & Data for our Paper "RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation" (EMNLP 2023)
Language: Python - Size: 1.69 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 0
neerajwagh/evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0
adhorn/eleanor
Code used during my Chaos Engineering and Resiliency Patterns talk.
Language: Python - Size: 2.75 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 4
jfc43/robust-attribution-regularization
Robust Attribution Regularization
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 0
Aboriginer/ZS-NTTA
[ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
Language: Python - Size: 2.24 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 13 - Forks: 2
Predixus/Go-Tiger-Style
Adaptation of Tigerstyle, for Golang
Language: Go - Size: 152 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 13 - Forks: 1
xiaojiaoyu100/aliyun-mns
阿里云MNS
Language: Go - Size: 1.18 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 7
yuji-roh/fr-train
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training (ICML 2020)
Language: Jupyter Notebook - Size: 214 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 4
