Summary of Supervised Kernel Thinning, by Albert Gong et al.
Supervised Kernel Thinningby Albert Gong, Kyuseong Choi, Raaz DwivediFirst submitted to arxiv on: 17 Oct…
Supervised Kernel Thinningby Albert Gong, Kyuseong Choi, Raaz DwivediFirst submitted to arxiv on: 17 Oct…
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixturesby Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li,…
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofsby Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf,…
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworksby Benjamin Leblanc, Mathieu Bazinet,…
Towards Better Performance in Incomplete LDL: Addressing Data Imbalanceby Zhiqiang Kou, Haoyuan Xuan, Jing Wang,…
Learning Counterfactual Distributions via Kernel Nearest Neighborsby Kyuseong Choi, Jacob Feitelberg, Caleb Chin, Anish Agarwal,…
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representationsby Kexuan Shi, Hai Chen, Leheng…
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratchby Caigao Jiang, Xiang Shu,…
Learning Representations for Reasoning: Generalizing Across Diverse Structuresby Zhaocheng ZhuFirst submitted to arxiv on: 16…
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generationby Jaehong Yoon, Shoubin Yu,…