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Papers
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
ICCV 2025
Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems
ACL 2025
Layerwise Change of Knowledge in Neural Networks
ICML 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NeurIPS 2024
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
ACL 2023
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
ICLR 2023
Monotone Learning
COLT 2022
Meta-learning with an Adaptive Task Scheduler
NeurIPS 2021
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
NAACL 2021
Domain Adaptive Image-to-Image Translation
CVPR 2020
Do Neural Language Models Overcome Reporting Bias?
COLING 2020