Summary of Can In-context Learning Really Generalize to Out-of-distribution Tasks?, by Qixun Wang et al.
Can In-context Learning Really Generalize to Out-of-distribution Tasks?by Qixun Wang, Yifei Wang, Yisen Wang, Xianghua…
Summary of Toward Guidance-free Ar Visual Generation Via Condition Contrastive Alignment, by Huayu Chen et al.
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignmentby Huayu Chen, Hang Su, Peize Sun,…
Summary of Pretraining Graph Transformers with Atom-in-a-molecule Quantum Properties For Improved Admet Modeling, by Alessio Fallani et al.
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modelingby Alessio Fallani, Ramil Nugmanov,…
Summary of Exploring the Design Space Of Deep-learning-based Weather Forecasting Systems, by Shoaib Ahmed Siddiqui et al.
Exploring the design space of deep-learning-based weather forecasting systemsby Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris…
Summary of Adaptive Random Fourier Features Training Stabilized by Resampling with Applications in Image Regression, By Aku Kammonen et al.
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regressionby Aku Kammonen,…
Summary of Time Transfer: on Optimal Learning Rate and Batch Size in the Infinite Data Limit, by Oleg Filatov et al.
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limitby Oleg…
Summary of Understanding Warmup-stable-decay Learning Rates: a River Valley Loss Landscape Perspective, by Kaiyue Wen et al.
Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspectiveby Kaiyue Wen, Zhiyuan Li, Jason…
Summary of Fedbip: Heterogeneous One-shot Federated Learning with Personalized Latent Diffusion Models, by Haokun Chen et al.
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Modelsby Haokun Chen, Hang Li, Yao…
Summary of Task-adaptive Pretrained Language Models Via Clustered-importance Sampling, by David Grangier et al.
Task-Adaptive Pretrained Language Models via Clustered-Importance Samplingby David Grangier, Simin Fan, Skyler Seto, Pierre AblinFirst…
Summary of Vedit: Latent Prediction Architecture For Procedural Video Representation Learning, by Han Lin et al.
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learningby Han Lin, Tushar Nagarajan, Nicolas Ballas,…