Greg Hamerly - RankMe

35 papers A* 3A 3B 8C 1Misc 1Journal 8Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning. CoRR Andrew Hamara, Greg Hamerly, Pablo Rivas, Andrew C. Freeman
2025	J	`jnl`	Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study. CoRR Andrew Hamara, Greg Hamerly, Pablo Rivas, Andrew C. Freeman
2025	—	`conf`	Supervised Contrastive Frame Aggregation for Video Representation Learning. ISVC (2) Shaif Chowdhury, Mushfika Rahman, Greg Hamerly
2025	J	`jnl`	Supervised Contrastive Frame Aggregation for Video Representation Learning. CoRR Shaif Chowdhury, Mushfika Rahman, Greg Hamerly
2024	B	`conf`	ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model Quantization. IEEE Big Data Shaif Chowdhury, Aaron Carney, Greg Hamerly, Greg Speegle
2024	—	`conf`	Active Learning Strategy Using Contrastive Learning and K-means for Aquatic Invasive Species Recognition. WACV (Workshops) Shaif Chowdhury, Greg Hamerly, Monica E. McGarrity
2024	B	`conf`	Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering. DSAA Alibek Zhakubayev, Greg Hamerly
2024	Misc	`conf`	Contrastive Learning for Detecting Invasive Aquatic Species: An Analysis of SimCLR and Self-Supervised Methods with Unlabeled Video Data. IVCNZ Sadia Nasrin Tisha, Greg Hamerly
2024	B	`conf`	Efficient Selective Pre-Training for Imbalanced Fine-Tuning Data in Transfer Learning. IEEE Big Data Shaif Chowdhury, Sadia Nasrin Tisha, Mushfika Rahman, Greg Hamerly
2024	J	`jnl`	Is ReLU Adversarially Robust? CoRR Korn Sooksatra, Greg Hamerly, Pablo Rivas
2024	B	`conf`	Using Annealing to Accelerate Triangle Inequality k-means. DSAA Alibek Zhakubayev, Greg Hamerly
2023	—	`conf`	Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer. ISVC (1) Shaif Chowdhury, Sadia Nasrin Tisha, Monica E. McGarrity, Greg Hamerly
2022	—	`conf`	Clustering Faster and Better with Projected Data. ICISDM Alibek Zhakubayev, Greg Hamerly
2022	—	`conf`	Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging. ISVC (1) Shaif Chowdhury, Greg Hamerly
2016	A	`conf`	Geometric methods to accelerate SDM Petr Rysavý, Greg Hamerly
2014	—	`conf`	A Convolutional Neural Network approach for classifying leukocoria. SSIAI Ryan Henning, Pablo Rivas-Perea, Bryan Shaw, Greg Hamerly
2014	—	`conf`	Finding the smallest circle containing the iris in the denoised wavelet domain. SSIAI Pablo Rivas-Perea, Ryan Henning, Bryan Shaw, Greg Hamerly
2010	—	`conf`	Efficient Model Selection for Large-Scale Nearest-Neighbor Data Mining. BNCOD Greg Hamerly, Greg Speegle
2010	A	`conf`	Making k-means Even Faster. SDM Greg Hamerly
2009	C	`conf`	Hierarchical Stability-Based Model Selection for Clustering Algorithms. ICMLA Bing Yin, Greg Hamerly
2007	B	`conf`	Cross Binary Simulation Points. ISPASS Erez Perelman, Jeremy Lau, Harish Patil, Aamer Jaleel, Greg Hamerly, Brad Calder
2006	B	`conf`	Comparing multinomial and k-means clustering for SimPoint. ISPASS Greg Hamerly, Erez Perelman, Brad Calder
2006	—	`conf`	PG-means: learning the number of clusters in data. NIPS Yu Feng, Greg Hamerly
2006	J	`jnl`	Using Machine Learning to Guide Architecture Simulation. J. Mach. Learn. Res. Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Calder, Timothy Sherwood
2005	B	`conf`	Motivation for Variable Length Intervals and Hierarchical Phase Behavior. ISPASS Jeremy Lau, Erez Perelman, Greg Hamerly, Timothy Sherwood, Brad Calder
2005	J	`jnl`	SimPoint 3.0: Faster and More Flexible Program Phase Analysis. J. Instr. Level Parallelism Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Calder
2005	B	`conf`	The Strong correlation Between Code Signatures and Performance. ISPASS Jeremy Lau, Jack Sampson, Erez Perelman, Greg Hamerly, Brad Calder
2004	J	`jnl`	How to use SimPoint to pick simulation points. SIGMETRICS Perform. Evaluation Rev. Greg Hamerly, Erez Perelman, Brad Calder
2003	J	`jnl`	Discovering and Exploiting Program Phases. IEEE Micro Timothy Sherwood, Erez Perelman, Greg Hamerly, Suleyman Sair, Brad Calder
2003	—	`conf`	Learning the k in k-means. NIPS Greg Hamerly, Charles Elkan
2003	—	`conf`	Picking Statistically Valid and Early Simulation Points. IEEE PACT Erez Perelman, Greg Hamerly, Brad Calder
2003	A*	`conf`	Using SimPoint for accurate and efficient simulation. SIGMETRICS Erez Perelman, Greg Hamerly, Michael Van Biesbrouck, Timothy Sherwood, Brad Calder
2002	A	`conf`	Alternatives to the k-means algorithm that find better clusterings. CIKM Greg Hamerly, Charles Elkan
2002	A*	`conf`	Automatically characterizing large scale program behavior. ASPLOS Timothy Sherwood, Erez Perelman, Greg Hamerly, Brad Calder
2001	A*	`conf`	Bayesian approaches to failure prediction for disk drives. ICML Greg Hamerly, Charles Elkan