Ivor Tsang

~Ivor_Tsang1

论文总数

19.0

年均投稿

5.3

平均评分

接收情况19/38

会议分布

ICLR

NeurIPS

ICML

发表论文 (38 篇)

202524 篇

5.3

Sanitizing LLMs: Retrospective Learning for Self-Correction of Inconsistent Samples via User Preferences

ICLR 2025Rejected

1.7

Memorisable Prompting: Preventing LLMs Forgetting False Positive Alarm

ICLR 2025withdrawn

6.0

Training-Free Dataset Pruning for Instance Segmentation

ICLR 2025Poster

7.0

Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction

ICML 2025Poster

6.8

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation

ICLR 2025Poster

5.5

Personalized Vision via Visual In-Context Learning

NeurIPS 2025Rejected

6.0

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration

ICLR 2025Poster

5.8

Plasticity from Structured Sparsity: Mastering Continual Reinforcement Learning through Fine-grained Network Allocation and Dormant Neuron Exploration

ICLR 2025Rejected

5.0

Beautifying Diffusion Models: Learning Context-Aware Filters for Robust Dense Prediction on Test-Time Corrupted Images

ICLR 2025withdrawn

4.0

CamoVid60K: A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding

ICLR 2025Rejected

6.8

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches

NeurIPS 2025Poster

3.5

The Advancement in Stochastic Zeroth-Order Optimization: Mechanism of Accelerated Convergence of Gaussian Direction on Objectives with Skewed Hessian Eigenvalues

ICLR 2025Rejected

3.5

Multi-view Consistent Image Generation through Self-calibrated Latent Refinement

ICLR 2025withdrawn

4.7

A Computation and Communication Efficient Projection-free Algorithm for Decentralized Constrained Optimization

ICLR 2025withdrawn

6.8

Sharpness-Aware Black-Box Optimization

ICLR 2025Poster

5.7

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer

ICLR 2025Poster

4.0

Time-variant Duo-image Inpainting via Interactive Distribution Transition Estimation

ICLR 2025Rejected

3.5

CRVR: Continuous Representation-Driven Video Frame Modulation Against rPPG Heart Rate Measurement

ICLR 2025withdrawn

4.5

Quality Diversity Imitation Learning

ICLR 2025Rejected

6.4

AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches

NeurIPS 2025Poster

7.3

InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning

NeurIPS 2025Poster

5.0

Understanding Continuous-depth Networks through the Lens of Homogeneous Ricci Flows

ICLR 2024Rejected

5.5

Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization

NeurIPS 2024Poster

6.0

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior

NeurIPS 2024Poster

5.0

Stochastic Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation

ICLR 2024Rejected

6.3

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

ICLR 2024Poster

7.5

Multisize Dataset Condensation

ICLR 2024Oral

6.7

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting

NeurIPS 2024Spotlight

6.5

On Harmonizing Implicit Subpopulations

ICLR 2024Poster

6.0

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning

ICLR 2024Poster

5.0

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization

ICLR 2024Rejected

5.3

TransCues: Boundary and Reflection-empowered Pyramid Vision Transformer for Semantic Transparent Object Segmentation

ICLR 2024Rejected

3.8

BOT: Bootstrapped Optimal Transport for Multi-label Noise Learning

ICLR 2024withdrawn

6.3

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold

合作者 (20)

Ivor Tsang

发表论文 (38 篇)

202524 篇

Sanitizing LLMs: Retrospective Learning for Self-Correction of Inconsistent Samples via User Preferences

Memorisable Prompting: Preventing LLMs Forgetting False Positive Alarm

Training-Free Dataset Pruning for Instance Segmentation

Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation

Personalized Vision via Visual In-Context Learning

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration

Plasticity from Structured Sparsity: Mastering Continual Reinforcement Learning through Fine-grained Network Allocation and Dormant Neuron Exploration

Beautifying Diffusion Models: Learning Context-Aware Filters for Robust Dense Prediction on Test-Time Corrupted Images

CamoVid60K: A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches

The Advancement in Stochastic Zeroth-Order Optimization: Mechanism of Accelerated Convergence of Gaussian Direction on Objectives with Skewed Hessian Eigenvalues

Multi-view Consistent Image Generation through Self-calibrated Latent Refinement

A Computation and Communication Efficient Projection-free Algorithm for Decentralized Constrained Optimization

Sharpness-Aware Black-Box Optimization

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer

Time-variant Duo-image Inpainting via Interactive Distribution Transition Estimation

CRVR: Continuous Representation-Driven Video Frame Modulation Against rPPG Heart Rate Measurement

Quality Diversity Imitation Learning

AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches

InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning

ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs

Predicting User Behaviors with Scene via Dual Sequence Networks

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity

202414 篇

Small Variance, Big Fairness: A Path to Harmless Fairness without Demographics

Understanding Continuous-depth Networks through the Lens of Homogeneous Ricci Flows

Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior

Stochastic Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Multisize Dataset Condensation

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting

On Harmonizing Implicit Subpopulations

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization

TransCues: Boundary and Reflection-empowered Pyramid Vision Transformer for Semantic Transparent Object Segmentation

BOT: Bootstrapped Optimal Transport for Multi-label Noise Learning

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold