• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 67 matches

• 2024
• 
  Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
  eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23(1): 37-40 (2024)
• 
  Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
  LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) 2024: 12562-12584
• 
  Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
  ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR 2024
• 
  Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz:
  Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC 2024: 98-107
• 
  Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
  Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024)
• 2023
• 
  Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
  FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
  eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR abs/2309.00964 (2023)
• 
  Seyed-Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
  ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR abs/2310.04564 (2023)
• 
  Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
  LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR abs/2312.11514 (2023)
• 2022
• 
  Chaima Abid, Khouloud Gaaloul, Marouane Kessentini, Vahid Alizadeh:
  What Refactoring Topics Do Developers Discuss? A Large Scale Empirical Study Using Stack Overflow. IEEE Access 10: 56362-56374 (2022)
• 
  Mohammad Reza Alizadeh, Vahid Khajehvand, Amir Masoud Rahmani, Ebrahim Akbari:
  TPEL: Task possible execution level for effective scheduling in fog-cloud environment. Clust. Comput. 25(6): 4653-4672 (2022)
• 
  Mostafa Darabi, Raffi Toukhtarian, Hossein Vahid Alizadeh, Benoit Boulet:
  Closed-loop thickness control and sensor placement in extrusion blow moulding. Int. J. Autom. Control. 16(5): 621-648 (2022)
• 
  Tom Frömbgen, Jan Blasius, Vahideh Alizadeh, Alain Chaumont, Martin Brehm, Barbara Kirchner:
  Cluster Analysis in Liquids: A Novel Tool in TRAVIS. J. Chem. Inf. Model. 62(22): 5634-5644 (2022)
• 
  Wael Kessentini, Vahid Alizadeh:
  Semi-automated metamodel/model co-evolution: a multi-level interactive approach. Softw. Syst. Model. 21(5): 1853-1876 (2022)
• 
  Mohammad Amin Karimi, Vahid Alizadehyazdi, Heinrich M. Jaeger, Matthew Spenko:
  A Self-Reconfigurable Variable-Stiffness Soft Robot Based on Boundary-Constrained Modular Units. IEEE Trans. Robotics 38(2): 810-821 (2022)
• 
  Chaima Abid, Marouane Kessentini, Vahid Alizadeh, Mouna Dhaouadi, Rick Kazman:
  How Does Refactoring Impact Security When Improving Quality? A Security-Aware Refactoring Approach. IEEE Trans. Software Eng. 48(3): 864-878 (2022)
• 
  Soumaya Rebai, Vahid Alizadeh, Marouane Kessentini, Houcem Fehri, Rick Kazman:
  Enabling Decision and Objective Space Exploration for Interactive Multi-Objective Refactoring. IEEE Trans. Software Eng. 48(5): 1560-1578 (2022)
• 
  Pooya Tavallali, Vahid Behzadan, Azar Alizadeh, Aditya Ranganath, Mukesh Singhal:
  Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor. ICIP 2022: 3717-3722
• 
  Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
  DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR 2022
• 
  Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath:
  Stochastic Induction of Decision Trees with Application to Learning Haar Trees. ICMLA 2022: 825-830
• 
  Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal:
  A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. ICMLA 2022: 831-836
• 2021
• 
  Chaima Abid, Vahid Alizadeh, Marouane Kessentini, Mouna Dhaouadi, Rick Kazman:
  Prioritizing refactorings for security-critical code. Autom. Softw. Eng. 28(2): 4 (2021)
• 
  Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein Vahid Alizadeh, August G. Domel, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
  Rapid Estimation of Entire Brain Strain Using Deep Learning Models. IEEE Trans. Biomed. Eng. 68(11): 3424-3434 (2021)
• 
  Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo:
  Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. CoRR abs/2102.05020 (2021)
• 
  Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
  Classification of head impacts based on the spectral density of measurable kinematics. CoRR abs/2104.09082 (2021)
• 
  Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh, Ashlyn A. Callan, Eli Rice, Yuzhe Liu, Zhou Zhou, Michael Zeineh, David B. Camarillo:
  Physics-informed machine learning improves detection of head impacts. CoRR abs/2108.08797 (2021)
• 
  Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
  DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR abs/2108.12659 (2021)
• 2020
• 
  Vahid Vahidinasab, Mahdi Tabarzadi, Hamidreza Arasteh, Mohammad Iman Alizadeh, Mohammad Mohammad Beigi, Hamid Reza Sheikhzadeh, Kamyar Mehran, Mohammad Sadegh Sepasian:
  Overview of Electric Energy Distribution Networks Expansion Planning. IEEE Access 8: 34750-34769 (2020)
• 
  Mohammad Reza Alizadeh, Vahid Khajehvand, Amir Masoud Rahmani, Ebrahim Akbari:
  Task scheduling approaches in fog computing: A systematic review. Int. J. Commun. Syst. 33(16) (2020)
• 
  Soumaya Rebai, Marouane Kessentini, Vahid Alizadeh, Oussama Ben Sghaier, Rick Kazman:
  Recommending refactorings via commit message analysis. Inf. Softw. Technol. 126: 106332 (2020)

skipping 37 more matches