Bing Liu

Affiliations

Facebook

papers

528

total citations

papers (14)

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

ICLR 2024arXiv

citations

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

AAAI 2024arXiv

citations

Continual Learning Using a Kernel-Based Method Over Foundation Models

AAAI 2025arXiv

citations

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

ICML 2024arXiv

citations

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

NEURIPS 2025arXiv

citations

BNS: Building Network Structures Dynamically for Continual Learning

NEURIPS 2021

citations

Show, Deconfound and Tell: Image Captioning With Causal Inference

CVPR 2022

citations

HRN: A Holistic Approach to One Class Learning

NEURIPS 2020

citations

Bing Liu

Affiliations

papers (14)

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

A Theoretical Study on Solving Continual Learning

Neural Collaborative Graph Machines for Table Structure Recognition

Dealing With Cross-Task Class Discrimination in Online Continual Learning

Class Incremental Learning via Likelihood Ratio Based Task Prediction

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Continual Learning Using a Kernel-Based Method Over Foundation Models

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

BNS: Building Network Structures Dynamically for Continual Learning

Show, Deconfound and Tell: Image Captioning With Causal Inference

HRN: A Holistic Approach to One Class Learning

papers (14)

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

A Theoretical Study on Solving Continual Learning

Neural Collaborative Graph Machines for Table Structure Recognition

Dealing With Cross-Task Class Discrimination in Online Continual Learning

Class Incremental Learning via Likelihood Ratio Based Task Prediction

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Continual Learning Using a Kernel-Based Method Over Foundation Models

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

BNS: Building Network Structures Dynamically for Continual Learning

Show, Deconfound and Tell: Image Captioning With Causal Inference

HRN: A Holistic Approach to One Class Learning