Tong Che
18 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(89)
π₯
Unstoppable Β· Bronze
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Research topics
Machine Learning
(14)
Deep Learning
(10)
Artificial Intelligence
(6)
Core AI
(6)
Computer Vision
(5)
Architectures
(5)
Optimization & Theory
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Analysis
(2)
Models
(2)
Techniques
(2)
Natural Language Processing
(1)
Keywords
energy-based model
(4)
object-centric representation
(2)
generative adversarial network
(2)
representation learning
(2)
out-of-distribution detection
(2)
vision transformer
(1)
domain generalization
(1)
semi-supervised learning
(1)
imitation learning
(1)
offline reinforcement learning
(1)
adversarial learning
(1)
transfer learning
(1)
domain adaptation
(1)
anomaly detection
(1)
mathematical reasoning
(1)
few-shot learning
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
attention mechanism
(1)
pose estimation
(1)
Papers
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
ACL 2026
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search
NAACL 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
ICLR 2025
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
ICLR 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
NeurIPS 2024
Parallelized Spatiotemporal Slot Binding for Videos
ICML 2024
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
ICML 2023
Robust and Controllable Object-Centric Learning through Energy-based Models
ICLR 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners
ICLR 2023
SPE: Symmetrical Prompt Enhancement for Fact Probing
EMNLP 2022
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AAAI 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
ICCV 2021
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
ECCV 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NeurIPS 2020
Conservative Wasserstein Training for Pose Estimation
ICCV 2019
MetaGAN: An Adversarial Approach to Few-Shot Learning
NeurIPS 2018
Residual Connections Encourage Iterative Inference
ICLR 2018
Architectural Complexity Measures of Recurrent Neural Networks
NeurIPS 2016