Are More Layers Beneficial to Graph Transformers?
Comments ICLR 2023
期刊&会议
ICLR
International Conference on Learning Representations · 会议 · Machine Learning
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Comments Accepted by The Eleventh International Conference on Learning Representations (ICLR 2023, notable-top-25%)
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
Comments Accepted for ICLR 2023
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
Comments 17 pages, 12 figures. ICLR 2023 (spotlight)
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
Comments ICLR 2023
Hidden Markov Transformer for Simultaneous Machine Translation
Comments Accepted to ICLR 2023 Spotlight
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Comments ICLR 2023
Diffusion Probabilistic Fields
Comments Accepted to ICLR 2023. 20 pages, 17 figures
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Comments This paper is accepted in ICLR 2023
Reward Design with Language Models
Comments International Conference on Learning Representations (ICLR) 2023
Strong inductive biases provably prevent harmless interpolation
Comments Accepted at ICLR 2023
Extreme Q-Learning: MaxEnt RL without Entropy
Comments ICLR 2023 Oral
Training language models to summarize narratives improves brain alignment
Comments ICLR 2023 (notable top 25%)
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Comments Accepted by the 11th International Conference on Learning Representations (ICLR 2023)
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Comments ICLR 2023 Camera Ready version
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Comments Camera-ready of ICLR 2023
Learnable Graph Convolutional Attention Networks
Comments Published as a conference paper at ICLR 2023. 35 pages, 5 figures
Learning on Large-scale Text-attributed Graphs via Variational Inference
Comments ICLR 2023
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Comments Accepted to ICLR 2023
Binding Language Models in Symbolic Languages
Comments ICLR 2023 camera ready, 27 pages, 10 figures
Multimodal Analogical Reasoning over Knowledge Graphs
Comments Accepted by ICLR 2023. The project website is https://zjunlp.github.io/project/MKG_Analogy/introduction.html
Does Zero-Shot Reinforcement Learning Exist?
Journal ref International Conference on Learning Representations, 2023
Meta-Learning in Games
Comments In the eleventh Conference on Learning Representations (ICLR 2023)
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Comments The Eleventh International Conference on Learning Representations (ICLR, 2023)
Transformers are Sample-Efficient World Models
Comments ICLR 2023 (notable top 5%)
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Comments ICLR'23
Federated Neural Bandits
Comments ICLR 2023. Code: https://github.com/daizhongxiang/Federated-Neural-Bandits
Neural Optimal Transport
Journal ref The 11th International Conference on Learning Representations (ICLR 2023)
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Comments Proceedings of The Eleventh International Conference on Learning Representations (ICLR 2023)
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Comments International Conference on Learning Representations 2023
