PaperHub

Mingming Gong

~Mingming_Gong1

46
论文总数
23.0
年均投稿
5.7
平均评分
接收情况25/46
会议分布
ICLR
31
NeurIPS
10
ICML
5

发表论文 (46 篇)

202528

4.5
4

Practical Kernel Learning for Kernel-based Conditional Independent Test

ICLR 2025Rejected
6.8
4

Practical Kernel Selection for Kernel-based Conditional Independence Test

NeurIPS 2025Poster
5.5
4

Projection Pursuit Density Ratio Estimation

ICML 2025Poster
6.1
4

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective

ICML 2025Poster
5.0
4

EM-DARTS: Preventing Performance Collapse in Differentiable Architecture Search with The Edge Mutation Mechanism

ICLR 2025Rejected
5.5
4

Learning Imbalanced Data with Beneficial Label Noise

ICLR 2025Rejected
6.6
4

Learning Imbalanced Data with Beneficial Label Noise

ICML 2025Poster
6.8
4

Counterfactual Implicit Feedback Modeling

NeurIPS 2025Poster
4.0
3

Consistency Verification for Detecting AI-Generated Images

ICLR 2025Rejected
4.8
5

Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem

ICLR 2025Rejected
6.7
3

A Robust Method to Discover Causal or Anticausal Relation

ICLR 2025Poster
6.8
4

Detecting Generated Images by Fitting Natural Image Distributions

NeurIPS 2025Spotlight
4.5
4

MMA: Benchmarking Multi-Modal Large Language Model in Ambiguity Contexts

ICLR 2025withdrawn
5.8
4

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning

ICLR 2025Rejected
5.3
4

Turning Challenges into Opportunities: How Distribution Shifts Enhance Identifiability in Causal Representation Learning

ICLR 2025Rejected
7.0
3

Optimal Transport for Time Series Imputation

ICLR 2025Poster
4.8
4

Counterfactual Delayed Feedback Learning

ICLR 2025Rejected
7.0
4

Analytic DAG Constraints for Differentiable DAG Learning

ICLR 2025Poster
6.1
4

Extracting Rare Dependence Patterns via Adaptive Sample Reweighting

ICML 2025Poster
8.0
3

On the Identification of Temporal Causal Representation with Instantaneous Dependence

ICLR 2025Oral
4.4
5

Sampling Process Brings Additional Bias for Debiased Recommendation

ICLR 2025Rejected
6.3
3

MissScore: High-Order Score Estimation in the Presence of Missing Data

ICML 2025Poster
6.6
5

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery

ICLR 2025Poster
6.4
4

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

NeurIPS 2025Poster
4.5
4

MissScore: High-Order Score Estimation in the Presence of Missing Data

ICLR 2025Rejected
5.8
6

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning

ICLR 2025Poster
6.4
4

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

NeurIPS 2025Poster
6.8
4

Towards Accurate Time Series Forecasting via Implicit Decoding

NeurIPS 2025Poster

202418

4.5
4

Self-Distilled Disentanglement for Counterfactual Prediction

ICLR 2024Rejected
5.5
4

Variational Inference with Singularity-Free Planar Flows

ICLR 2024Rejected
5.8
5

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D Data

ICLR 2024Rejected
5.0
3

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

ICLR 2024Rejected
6.7
3

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach

ICLR 2024Poster
7.3
3

A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error

ICLR 2024Poster
5.8
4

Domain Generalization via Content Factors Isolation: A Two-level Latent Variable Modeling Approach

ICLR 2024Rejected
4.3
4

Identifiable Latent Causal Content for Domain Adaptation under Latent Covariate Shift

ICLR 2024Rejected
6.0
4

Discovery of the Hidden World with Large Language Models

NeurIPS 2024Poster
5.4
5

Identifiable Latent Polynomial Causal Models through the Lens of Change

ICLR 2024Poster
5.8
4

Analytic DAG Constraints for Differentiable DAG Learning

ICLR 2024Rejected
5.7
3

Identifiability Analysis of Linear ODE Systems with Hidden Confounders

NeurIPS 2024Poster
5.3
4

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

ICLR 2024Rejected
5.3
3

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization

NeurIPS 2024Poster
4.4
5

Optimal Kernel Choice for Score Function-based Causal Discovery

ICLR 2024Rejected
3.4
5

Identifiable State Disentanglement for Reinforcement Learning with Policy Optimality

ICLR 2024withdrawn
5.3
4

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

NeurIPS 2024Poster
6.7
3

Improving Non-Transferable Representation Learning by Harnessing Content and Style

ICLR 2024Spotlight