PaperHub

Tongliang Liu

~Tongliang_Liu1

86
论文总数
43.0
年均投稿
5.6
平均评分
接收情况54/86
会议分布
ICLR
57
NeurIPS
21
ICML
8

发表论文 (86 篇)

202541

6.0
4

Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations

ICLR 2025Poster
4.8
4

On the Language of Thoughts in Large Language Models

ICLR 2025Rejected
4.8
4

Exploring the Discriminative Capability of LLMs in In-context Learning

ICLR 2025Rejected
6.8
4

Epistemic Uncertainty for Generated Image Detection

NeurIPS 2025Poster
6.0
4

Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates

ICLR 2025Poster
3.0
5

Revisiting the expressiveness of CNNs: a mathematical framework for feature extraction

ICLR 2025withdrawn
5.5
4

Diversifying Spurious Subgraphs for Graph Out-of-Distribution Generalization

ICLR 2025Rejected
5.0
4

Detecting Discrepancies Between Generated and Natural Images Using Uncertainty

ICLR 2025Rejected
6.6
4

Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization

ICML 2025Rejected
6.8
4

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization

NeurIPS 2025Poster
7.8
4

Generative Model Inversion Through the Lens of the Manifold Hypothesis

NeurIPS 2025Poster
5.5
4

Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples

NeurIPS 2025Poster
4.0
5

Understanding Mistakes in Transformers through Token-level Semantic Dependencies

ICLR 2025Rejected
6.1
4

A Lens into Interpretable Transformer Mistakes via Semantic Dependency

ICML 2025Poster
4.8
3

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning

ICML 2025Poster
6.0
3

Noisy Test-Time Adaptation in Vision-Language Models

ICLR 2025Poster
6.0
4

Understanding and Enhancing the Transferability of Jailbreaking Attacks

ICLR 2025Poster
6.0
4

Learning Graph Invariance by Harnessing Spuriosity

ICLR 2025Poster
4.4
5

Single-Step Diffusion Model-Based Generative Model Inversion Attacks

ICLR 2025Rejected
5.5
4

Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models

ICML 2025Poster
6.6
4

A Sample Efficient Conditional Independence Test in the Presence of Discretization

ICML 2025Poster
4.0
4

Nested Gloss Makes Large Language Models Lost

ICLR 2025withdrawn
3.0
4

Safeguarding System Prompts: A Surrogate-Based Defense Against Injection Attacks

ICLR 2025withdrawn
7.3
3

Instance-dependent Early Stopping

ICLR 2025Spotlight
5.5
4

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods

ICLR 2025Poster
6.8
4

Revealing Multimodal Causality with Large Language Models

NeurIPS 2025Poster
7.3
4

Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning

NeurIPS 2025Poster
6.0
5

Towards Out-of-Modal Generalization without Instance-level Modal Correspondence

ICLR 2025Poster
3.8
5

Can Large Language Models Help Experimental Design for Causal Discovery?

ICLR 2025Rejected
6.1
4

From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium

ICML 2025Poster
5.5
4

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

NeurIPS 2025Poster
6.7
3

A Robust Method to Discover Causal or Anticausal Relation

ICLR 2025Poster
4.0
3

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need

ICML 2025Poster
6.4
4

Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation

NeurIPS 2025Poster
6.0
4

AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents

NeurIPS 2025Poster
4.4
4

Ranked from Within: Ranking Large Multimodal Models Without Labels

ICML 2025Poster
6.3
4

Flow: Modularized Agentic Workflow Automation

ICLR 2025Poster
6.8
4

Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models

ICLR 2025Poster
6.4
4

MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation

NeurIPS 2025Poster
7.8
4

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels

NeurIPS 2025Poster
7.2
5

DEEM: Diffusion models serve as the eyes of large language models for image perception

ICLR 2025Spotlight

202445

5.8
4

Early Stopping Against Label Noise Without Validation Data

ICLR 2024Poster
6.0
4

Discovery of the Hidden World with Large Language Models

NeurIPS 2024Poster
4.8
4

Learning the Latent Noisy Data Generative Process for Label-Noise Learning

ICLR 2024Rejected
6.0
4

Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions

ICLR 2024Poster
6.3
4

Cross-domain Few-shot Classification via Maximization Optimized Kernel Dependence

ICLR 2024Rejected
5.0
4

Learning the Latent Causal Structure for Modeling Label Noise

NeurIPS 2024Poster
5.8
4

Pseudo-Private Data Guided Model Inversion Attacks

NeurIPS 2024Poster
6.0
4

What If the Input is Expanded in OOD Detection?

NeurIPS 2024Poster
5.0
4

NoiseGPT: Label Noise Detection and Rectification through Probability Curvature

NeurIPS 2024Poster
5.7
3

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning

NeurIPS 2024Poster
5.3
4

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization

NeurIPS 2024Poster
4.7
3

Advancing Counterfactual Inference through Quantile Regression

ICLR 2024Rejected
4.0
4

Sparse Labels Node Classification: Unsupervised Learning for Mentoring Supervised Learning in Sparse Label Settings

ICLR 2024Rejected
4.8
5

Power Characterization of Noisy Quantum Kernels

ICLR 2024Rejected
8.0
3

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation

ICLR 2024Spotlight
6.3
4

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting

ICLR 2024Poster
4.3
4

Fairness Improves Learning from Noisily Labeled Long-Tailed Data

ICLR 2024Rejected
5.3
4

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

ICLR 2024Poster
6.3
4

Out-of-Distribution Detection with Negative Prompts

ICLR 2024Poster
4.4
5

Optimal Kernel Choice for Score Function-based Causal Discovery

ICLR 2024Rejected
4.3
4

DOG: Diffusion-based Outlier Generation for Out-of-Distribution Detection

ICLR 2024Rejected
6.0
4

Few-Shot Adversarial Prompt Learning on Vision-Language Models

NeurIPS 2024Poster
6.0
4

AVOID: Alleviating VAE's Overestimation in Unsupervised OOD Detection

ICLR 2024Rejected
6.0
4

Robust Training of Federated Models with Extremely Label Deficiency

ICLR 2024Poster
6.3
4

Pixel Reweighted Adversarial Training

ICLR 2024Rejected
5.5
4

Feature Map Matters in Out-of-distribution Detection

ICLR 2024Rejected
5.8
5

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation

ICLR 2024Poster
3.2
5

On the Onset of Robust Overfitting in Adversarial Training

ICLR 2024Rejected
7.0
4

FedImpro: Measuring and Improving Client Update in Federated Learning

ICLR 2024Poster
5.3
4

Neural Auto-designer for Enhanced Quantum Kernels

ICLR 2024Poster
5.0
4

DOS: Dreaming Outlier Semantics for Out-of-distribution Detection

ICLR 2024Rejected
5.0
3

RoCA: A Robust Method to Discover Causal or Anticausal Relation by Noise Injection

ICLR 2024Rejected
7.5
4

Negative Label Guided OOD Detection with Pretrained Vision-Language Models

ICLR 2024Spotlight
4.0
3

Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction

ICLR 2024Rejected
6.2
5

Federated Causal Discovery from Heterogeneous Data

ICLR 2024Poster
5.0
3

Multi-label Cluster Discrimination for Visual Representation Learning

ICLR 2024Rejected
5.8
4

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

NeurIPS 2024Poster
5.3
4

In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment

NeurIPS 2024Poster
4.8
4

Mitigating Label Noise on Graphs via Topological Curriculum Learning

ICLR 2024Rejected
6.0
5

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models

ICLR 2024Poster
5.0
4

Gradient Constrained Sharpness-aware Prompt Learning for Vision-Language Models

ICLR 2024withdrawn
5.3
4

AlignCLIP: Enhancing Stable Representations in Vision-Language Pretraining Models through Attention and Prediction Alignment

ICLR 2024Rejected
3.8
4

Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels

ICLR 2024Rejected
4.3
4

Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training

ICLR 2024withdrawn
6.7
3

Improving Non-Transferable Representation Learning by Harnessing Content and Style

ICLR 2024Spotlight