Bingbin Liu
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Architectures
(5)
Learning Types
(5)
Optimization & Theory
(5)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
(3)
Computer Science
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Keywords
self-supervised learning
(3)
contrastive learning
(2)
representation learning
(1)
variational inference
(1)
video prediction
(1)
depth estimation
(1)
knowledge distillation
(1)
neural network analysis
(1)
data augmentation
(1)
language modeling
(1)
sample complexity
(1)
point cloud
(1)
attention mechanism
(1)
model analysis
(1)
transformer architecture
(1)
neural network optimization
(1)
loss landscape
(1)
neural network theory
(1)
tensor decomposition
(1)
statistical learning
(1)
Papers
Progressive distillation induces an implicit curriculum
ICLR 2025
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
ICLR 2024
Exposing Attention Glitches with Flip-Flop Language Modeling
NeurIPS 2023
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
NeurIPS 2023
Transformers Learn Shortcuts to Automata
ICLR 2023
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
ICLR 2022
Masked Prediction: A Parameter Identifiability View
NeurIPS 2022
Contrastive learning of strong-mixing continuous-time stochastic processes
AISTATS 2021
Generalized Boosting
NeurIPS 2020
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
MLHC 2018
Learning to Decompose and Disentangle Representations for Video Prediction
NeurIPS 2018
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
ECCV 2018