PaperHub

Xin Geng

~Xin_Geng1

27
论文总数
13.5
年均投稿
5.5
平均评分
接收情况17/27
会议分布
NeurIPS
12
ICLR
11
ICML
4

发表论文 (27 篇)

202518 篇

4.2
5

Improved Noise Schedule for Diffusion Training

ICLR 2025Rejected
6.4
5

Selective Label Enhancement Learning for Test-Time Adaptation

ICLR 2025Poster
6.0
4

SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization

NeurIPS 2025Poster
6.6
4

Progressively Label Enhancement for Large Language Model Alignment

ICML 2025Poster
4.6
5

Progressively Label Enhancement for Large Language Model Alignment

ICLR 2025Rejected
3.8
5

Enriching Knowledge Distillation with Intra-Class Contrastive Learning

ICLR 2025withdrawn
6.4
4

Can Class-Priors Help Single-Positive Multi-Label Learning?

NeurIPS 2025Poster
6.4
4

FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network

NeurIPS 2025Poster
6.8
4

Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning

NeurIPS 2025Poster
4.3
4

DFL$^2$G: Dynamic Agnostic Federated Learning with Learngene

ICLR 2025Rejected
2.5
4

Negative-Prompt-driven Alignment for Generative Language Model

ICLR 2025withdrawn
4.5
4

Learngene Tells You How to Customize: Task-Aware Parameter Prediction at Flexible Scales

ICLR 2025withdrawn
6.0
5

Fast Large Language Model Collaborative Decoding via Speculation

ICML 2025Poster
4.9
4

Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales

ICML 2025Poster
4.0
4

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations

ICLR 2025withdrawn
7.8
4

ECO: Evolving Core Knowledge for Efficient Transfer

NeurIPS 2025Poster
6.1
4

KIND: Knowledge Integration and Diversion for Training Decomposable Models

ICML 2025Poster
7.8
4

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

NeurIPS 2025Poster

20249 篇

6.3
4

Can Class-Priors Help Single-Positive Multi-Label Learning?

ICLR 2024Rejected
5.3
4

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

NeurIPS 2024Poster
3.7
3

Hybrid Representation Learning Via Epistemic Graph

ICLR 2024withdrawn
5.5
4

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers

NeurIPS 2024Poster
6.0
4

LIVE: Learnable In-Context Vector for Visual Question Answering

NeurIPS 2024Poster
3.7
3

Cluster-Learngene: Inheriting Adaptive Clusters for Self-Attention

ICLR 2024withdrawn
6.3
4

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models

NeurIPS 2024Poster
6.4
5

What Makes Partial-Label Learning Algorithms Effective?

NeurIPS 2024Poster
5.8
4

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

NeurIPS 2024Poster
合作者 (20)