Yihe Dong - RankMe

32 papers A* 9Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attention Retrieves, MLP Memorizes: Disentangling Trainable Components in the Transformer. CoRR Yihe Dong, Lorenzo Noci, Mikhail Khodak, Mufan Bill Li
2025	J	`jnl`	Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs? CoRR Adithya Bhaskar, Alexander Wettig, Tianyu Gao, Yihe Dong, Danqi Chen
2025	A*	`conf`	Metadata Conditioning Accelerates Language Model Pre-training. ICML Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen
2025	J	`jnl`	Metadata Conditioning Accelerates Language Model Pre-training. CoRR Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen
2024	J	`jnl`	AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation. CoRR Yihe Dong
2024	J	`jnl`	Learned Feature Importance Scores for Automated Feature Engineering. CoRR Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2023	J	`jnl`	COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	A*	`conf`	Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. ICLR Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2023	J	`jnl`	LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
2023	J	`jnl`	Learning Space Partitions for Nearest Neighbor Search. IEEE Data Eng. Bull. Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
2023	J	`jnl`	SLM: End-to-end Feature Selection via Sparse Learnable Masks. CoRR Yihe Dong, Sercan Ö. Arik
2022	J	`jnl`	Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts. CoRR Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2021	J	`jnl`	Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. CoRR Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
2021	A*	`conf`	Attention is not all you need: pure attention loses rank doubly exponentially with depth. ICML Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
2020	J	`jnl`	A Study of Performance of Optimal Transport. CoRR Yihe Dong, Yu Gao, Richard Peng, Ilya P. Razenshteyn, Saurabh Sawlani
2020	A*	`conf`	COPT: Coordinated Optimal Transport on Graphs. NeurIPS Yihe Dong, Will Sawin
2020	J	`jnl`	COPT: Coordinated Optimal Transport on Graphs. CoRR Yihe Dong, Will Sawin
2020	A*	`conf`	CoinPress: Practical Private Mean and Covariance Estimation. NeurIPS Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman
2020	J	`jnl`	CoinPress: Practical Private Mean and Covariance Estimation. CoRR Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman
2020	J	`jnl`	HNHN: Hypergraph Networks with Hyperedge Neurons. CoRR Yihe Dong, Will Sawin, Yoshua Bengio
2020	A*	`conf`	Learning Space Partitions for Nearest Neighbor Search. ICLR Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
2020	A*	`conf`	SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. USENIX Security Symposium Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
2020	A*	`conf`	Scalable Nearest Neighbor Search for Optimal Transport. ICML Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
2020	J	`jnl`	Social Media Big Data-Based Research on the Influencing Factors of Insomnia and Spatiotemporal Evolution. IEEE Access Yu Liu, Qinyao Luo, Hang Shen, Sida Zhuang, Chen Xu, Yihe Dong, Yukai Sun, Shaochen Wang, Hao Deng
2019	J	`jnl`	Learning Sublinear-Time Indexing for Nearest Neighbor Search. CoRR Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
2019	A*	`conf`	Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. NeurIPS Yihe Dong, Samuel B. Hopkins, Jerry Li
2019	J	`jnl`	Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. CoRR Yihe Dong, Samuel B. Hopkins, Jerry Li
2019	J	`jnl`	SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. CoRR Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
2019	J	`jnl`	SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. IACR Cryptol. ePrint Arch. Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
2019	J	`jnl`	Scalable Nearest Neighbor Search for Optimal Transport. CoRR Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
2018	—	`conf`	NLP and Large-Scale Information Retrieval on Mathematical Texts. ICMS Yihe Dong
2018	—	`conf`	NLP-Based Detection of Mathematics Subject Classification. ICMS Yihe Dong