TMLR Group

DeepInception

[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

MC-GRA

[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

WCA

[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"

FedFed

[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"

PART

[ICML 2024] "Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training"

RGIB

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

DAL

[NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"

EOE

[ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"

SMM

[ICML 2024] "Sample-specific Masks for Visual Reprogramming-based Prompting"

ATOL

[NeurIPS 2023] "Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources"

NegLabel

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

one-shot-subgraph

[ICLR 2024] "Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs"

MOKD

[ICML 2024] "MOKD: Cross-domain Few-shot Classification via Maximizing Optimized Kernel Dependence"

NeuralAtom

[ICLR 2024] "Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel"

FeAT

[NeurIPS 2023] "Understanding and Improving Feature Learning for Out-of-Distribution Generalization"

SFAT-MindSpore

SFAT implemented with MindSpore

GALA

[NeurIPS 2023] "Does Invariant Graph Learning via Environment Augmentation Learn Invariance?"

MMD-MP

[ICLR 2024] "Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy"

NoiseDiffusion

[ICLR 2024 Spotlight] "NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation"

Twin-sight

[ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"

.github

Co-Boosting

[ICLR 2024] "Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting"

FedImpro

[ICLR 2024] "FedImpro: Measuring and Improving Client Update in Federated Learning"

GMT

[ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?

GSLM

[TMLR 2024] "Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation"

INSET

[ICLR 2024] "Enhancing Neural Subset Selection: Integrating Background Information Into Set Representations"

LCCN

[PAMI 2023] "Latent Class-Conditional Noise Model"

NUSA

[IJCV 2024] "Does Confusion Really Hurts Novel Class Discovery?"

SODA

[NeurIPS 2023] "SODA: Robust Training of Test-Time Data Adaptors"

tmlr-group.github.io