TMLR Group

Trustworthy Machine Learning and Reasoning Group

Hong Kong

Pinned Repositories

AR-Bench
[ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"
Language:Python373
AttrVR
[ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR
Language:Python2 0 00
BayesianLM
[NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
Language:Python11 0 01
Co-rewarding
[arXiv:2508.00410] "Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement"
Language:Python371
DAD
[ICML 2025] "One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy"
Language:Python20
DeepInception
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
Language:Python162 4 020
G-effect
[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
Language:Python121
landscape-of-thoughts
[ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"
Language:Jupyter Notebook352
NoisyRationales
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
Language:Python37 4 02
WCA
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
Language:Python56 0 03

TMLR Group's Repositories

tmlr-group/DeepInception
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
Language:Python162 4 020
tmlr-group/MC-GRA
[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
Language:Python32 1 02
tmlr-group/FedFed
[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
Language:Python18 0 01
tmlr-group/PART
[ICML 2024] "Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training"
Language:Python14 0 00
tmlr-group/DAL
[NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"
Language:Python12 4 20
tmlr-group/RGIB
[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"
Language:Python11 2 01
tmlr-group/ATOL
[NeurIPS 2023] "Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources"
Language:Python8 4 11
tmlr-group/class_prior
[ICML 2023] "Detecting Out-of-distribution Data through In-distribution Class Prior"
Language:Python8 0 00
tmlr-group/one-shot-subgraph
[ICLR 2024] "Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs"
Language:Python8 0 01
tmlr-group/Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Language:Python7 1 00
tmlr-group/DivOE
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
Language:Python4 0 01
tmlr-group/EPS-AD
[ICML 2023] "Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score"
Language:Python3 0 00
tmlr-group/FedImpro
[ICLR 2024] "FedImpro: Measuring and Improving Client Update in Federated Learning"
Language:Python2 0 0
tmlr-group/SFAT
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
Language:Python2 0 00
tmlr-group/GALA
[NeurIPS 2023] "Does Invariant Graph Learning via Environment Augmentation Learn Invariance?"
Language:Python1 0 0
tmlr-group/Memorization-Discrepancy
[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"
Language:Python1 0 0
tmlr-group/MMD-MP
[ICLR 2024] "Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy"
Language:Python1 0 0
tmlr-group/NoiseDiffusion
[ICLR 2024 Spotlight] "NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation"
Language:Python1 0 00
tmlr-group/SFAT-MindSpore
SFAT implemented with MindSpore
Language:Python1 0 01
tmlr-group/Twin-sight
[ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"
Language:Python1 0 00
tmlr-group/watermarking
[NeurIPS 2022] "Watermarking for Out-of-distribution Detection"
Language:Python0 0 00
tmlr-group/Co-Boosting
[ICLR 2024] "Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting"
Language:Python0 0
tmlr-group/DEG-Net
[ICML 2023] "Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation"
Language:Python0 0
tmlr-group/GSLM
[TMLR 2024] "Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation"
Language:Python0 0
tmlr-group/INSET
[ICLR 2024] "Enhancing Neural Subset Selection: Integrating Background Information Into Set Representations"
Language:Python0 0
tmlr-group/KRADA
[TMLR 2023] "KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation"
Language:Python0 0
tmlr-group/LCCN
[TPAMI 2023] "Latent Class-Conditional Noise Model"
Language:Python0 0
tmlr-group/NUSA
[IJCV 2024] "Does Confusion Really Hurts Novel Class Discovery?"
Language:Python0 0
tmlr-group/ROBOT
[ICLR 2023] "A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond"
Language:Python0 0
tmlr-group/SODA
[NeurIPS 2023] "SODA: Robust Training of Test-Time Data Adaptors"
Language:Python0 0