• 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 190 matches

• 2024
• 
  Manan Patel, Harsh Bhatt, Manushi Munshi, Shivani Pandya, Swati Jain, Priyank Thakkar, SangWon Yoon:
  CNN-FEBAC: A framework for attention measurement of autistic individuals. Biomed. Signal Process. Control. 88(Part C): 105018 (2024)
• 
  Ankit Thakkar, Kinjal Chaudhari:
  Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade. Comput. Sci. Rev. 53: 100652 (2024)
• 
  Minjun Chen, Yue Wu, Byron Wingerd, Zhichao Liu, Joshua Xu, Shraddha Thakkar, Thomas J. Pedersen, Tom Donnelly, Nicholas Mann, Weida Tong, Russell D. Wolfinger, Wenjun Bao:
  Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost. Frontiers Artif. Intell. 7 (2024)
• 
  Qiaolin Yu, Chang Guo, Jay Zhuang, Viraj Thakkar, Jianguo Wang, Zhichao Cao:
  CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure. Proc. ACM Manag. Data 2(3): 124 (2024)
• 
  Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
  fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. ACM Trans. Graph. 43(4): 133:1-133:15 (2024)
• 
  Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
  A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) 2024: 5732-5745
• 
  Pramod Chundury, Urja Thakkar, Yasmin Reyazuddin, J. Bern Jordan, Niklas Elmqvist, Jonathan Lazar:
  Understanding the Visualization and Analytics Needs of Blind and Low-Vision Professionals. ASSETS 2024: 111:1-111:5
• 
  Viraj Thakkar, Madhumitha Sukumar, Jiaxin Dai, Kaushiki Singh, Zhichao Cao:
  Can Modern LLMs Tune and Configure LSM-based Key-Value Stores? HotStorage 2024
• 
  Keyurkumar Patel, Divya Patel, Nishit Chaudhary, Darsh Thakkar, Pratham Savaliya, Armaan Mistry:
  Advance Public Bus Transport Management System: An Innovative Smart Bus Concept. ICCE 2024: 1-6
• 
  Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
  Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion 2024: 150-160
• 
  Pranjal Dutta, Christian Ikenmeyer, Balagopal Komarath, Harshil Mittal, Saraswati Girish Nanoti, Dhara Thakkar:
  On the Power of Border Width-2 ABPs over Fields of Characteristic 2. STACS 2024: 31:1-31:16
• 
  Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
  Multi-line AI-assisted Code Authoring. CoRR abs/2402.04141 (2024)
• 
  Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
  WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR abs/2403.07718 (2024)
• 
  Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
  A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR abs/2406.04879 (2024)
• 
  Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
  fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence. CoRR abs/2407.01781 (2024)
• 
  Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin:
  WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR abs/2407.05291 (2024)
• 
  Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby:
  AI-Assisted SQL Authoring at Industry Scale. CoRR abs/2407.13280 (2024)
• 
  Yuchen Zhang, Ratish Kumar Chandrakant Jha, Soumya Bharadwaj, Vatsal Sanjaykumar Thakkar, Adrienne Hoarfrost, Jin Sun:
  A Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language. CoRR abs/2407.15888 (2024)
• 
  Geeticka Chauhan, Steve Chien, Om Thakkar, Abhradeep Thakurta, Arun Narayanan:
  Training Large ASR Encoders with Differential Privacy. CoRR abs/2409.13953 (2024)
• 2023
• 
  Nikhila Kathirisetty, Rajendrasinh Jadeja, Hiren Kumar Thakkar, Deepak Garg, Cheng-Chieh Chang, Rajesh Mahadeva, Shashikant P. Patole:
  Student Placement Probabilistic Assessment Using Emotional Quotient With Machine Learning: A Conceptual Case Study. IEEE Access 11: 125716-125737 (2023)
• 
  Rugved Chavan, Aravind kanamarlapudi, Geeta Rani, Priyam Thakkar, Vijaypal Singh Dhaka:
  CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge. Eng. Appl. Artif. Intell. 126(Part D): 107089 (2023)
• 
  Kinjal Chaudhari, Ankit Thakkar:
  Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction. Expert Syst. Appl. 219: 119527 (2023)
• 
  Kinjal Chaudhari, Ankit Thakkar:
  Data fusion with factored quantization for stock trend prediction using neural networks. Inf. Process. Manag. 60(3): 103293 (2023)
• 
  Miruna T. Cretu, Alessandra Toniato, Amol Thakkar, Amin A Debabeche, Teodoro Laino, Alain C. Vaucher:
  Standardizing chemical compounds with language models. Mach. Learn. Sci. Technol. 4(3): 35014 (2023)
• 
  Han Cheol Moon, Shafiq R. Joty, Ruochen Zhao, Megh Thakkar, Chi Xu:
  Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. ACL (1) 2023: 5145-5165
• 
  Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
  Self-Influence Guided Data Reweighting for Language Model Pre-training. EMNLP 2023: 2033-2045
• 
  Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang:
  Measuring Forgetting of Memorized Training Examples. ICLR 2023
• 
  Jinal Hitesh Thakkar, Chinchu Thomas, Dinesh Babu Jayagopi:
  Automatic assessment of communication skill in real-world job interviews: A comparative study using deep learning and domain adaptation. ICVGIP 2023: 5:1-5:11
• 
  Teck-Hou Teng, George Rosario Jagadeesh, Thakkar Kunal, Chong Chee Chung:
  Traffic State Prediction of Perturbed and Non-perturbed Traffic Scenarios. IntelliSys (1) 2023: 129-144
• 
  Erica Juliano, Chelsea Thakkar, Christopher Taber, Mehul S. Raval, Tolga Kaya, Samah Senbel:
  A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. PRDC 2023: 314-318

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