Summary of Near: a Training-free Pre-estimator Of Machine Learning Model Performance, by Raphael T. Husistein et al.
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performanceby Raphael T. Husistein, Markus Reiher, Marco…
Summary of Representation Learning Of Geometric Trees, by Zheng Zhang et al.
Representation Learning of Geometric Treesby Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio Ascoli, Liang ZhaoFirst…
Summary of Constructing Domain-specific Evaluation Sets For Llm-as-a-judge, by Ravi Raju et al.
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judgeby Ravi Raju, Swayambhoo Jain, Bo Li, Jonathan Li, Urmish…
Summary of The Limitations Of Model Retraining in the Face Of Performativity, by Anmol Kabra et al.
The Limitations of Model Retraining in the Face of Performativityby Anmol Kabra, Kumar Kshitij PatelFirst…
Summary of Mitigating Degree Bias in Signed Graph Neural Networks, by Fang He et al.
Mitigating Degree Bias in Signed Graph Neural Networksby Fang He, Jinhai Deng, Ruizhan Xue, Maojun…
Summary of Inverse Design with Conditional Cascaded Diffusion Models, by Milad Habibi et al.
Inverse design with conditional cascaded diffusion modelsby Milad Habibi, Mark FugeFirst submitted to arxiv on:…
Summary of Unsupervised Transfer Learning Via Adversarial Contrastive Training, by Chenguang Duan et al.
Unsupervised Transfer Learning via Adversarial Contrastive Trainingby Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma,…
Summary of Where Is the Signal in Tokenization Space?, by Renato Lui Geh and Honghua Zhang and Kareem Ahmed and Benjie Wang and Guy Van Den Broeck
Where is the signal in tokenization space?by Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie…
Summary of A Training Regime to Learn Unified Representations From Complementary Breast Imaging Modalities, by Umang Sharma et al.
A training regime to learn unified representations from complementary breast imaging modalitiesby Umang Sharma, Jungkyu…
Summary of Abq-llm: Arbitrary-bit Quantized Inference Acceleration For Large Language Models, by Chao Zeng et al.
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Modelsby Chao Zeng, Songwei Liu, Yusheng Xie,…