• 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 677 matches

• 2024
• 
  Alper Yayla, Ersin Dincelli, Srikanth Parameswaran:
  A Mining Town in a Digital Land: Browser-Based Cryptocurrency Mining as an Alternative to Online Advertising. Inf. Syst. Frontiers 26(2): 609-631 (2024)
• 
  Debashree Chakraborty, Omkar Singh, Divya Parameswaran:
  Study of Correlated Motions to Detect the Conformational Transitions of the Intrinsically Disordered Sheep Prion Peptide. J. Chem. Inf. Model. 64(14): 5590-5603 (2024)
• 
  Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
  "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-34 (2024)
• 
  Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
  SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow. 17(12): 4173-4186 (2024)
• 
  Darshana Jayasinghe, Brian Udugama, Sri Parameswaran:
  1LUTSensor: Detecting FPGA Voltage Fluctuations using LookUp Tables. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(1): 51-86 (2024)
• 
  Sajid Hussain, Hui Guo, Tuo Li, Sri Parameswaran:
  MP-ORAM: A Novel ORAM Design for Multicore Processor Systems. IEEE Trans. Dependable Secur. Comput. 21(4): 3719-3733 (2024)
• 
  Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher:
  Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS 2024: 4411-4419
• 
  Brian Udugama, Darshana Jayasinghe, Sri Parameswaran:
  Sensors for Remote Power Attacks: New Developments and Challenges. ASPDAC 2024: 333-340
• 
  Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
  Informativeness of Reward Functions in Reinforcement Learning. AAMAS 2024: 444-452
• 
  Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang:
  Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR 2024
• 
  Jing Gong, Hassaan Saadat, Haris Javaid, Hasindu Gamaarachchi, David Taubman, Sri Parameswaran:
  SEA: Sign-Separated Accumulation Scheme for Resource-Efficient DNN Accelerators. DATE 2024: 1-6
• 
  Kisaru Liyanage, Hasindu Gamaarachchi, Hassaan Saadat, Tuo Li, Hiruna Samarakoon, Sri Parameswaran:
  Accelerating Chaining in Genomic Analysis Using RISC- V Custom Instructions. DATE 2024: 1-6
• 
  Vijaya Parameswaran, Kalle Lyytinen, David Aron, Kurt Stange:
  Activity Theory Analysis of the Drivers of Telemedicine: A Mixed Methods Study. HICSS 2024: 3507-3516
• 
  Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran:
  It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD 2024: 1-4
• 
  Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla:
  Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. ICML 2024
• 
  Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
  MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML 2024
• 
  Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong:
  EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. ICML 2024
• 
  Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla:
  Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. IJCAI 2024: 5027-5036
• 
  Mekala Bindu Bhargavi, Grandhala Sri Sai Harshith, Sri Parameswaran, Soumya J.:
  Optimizing LU Decomposition with RISC-V Based Hardware Acceleration. ISVLSI 2024: 210-215
• 
  Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
  LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD 2024: 4804-4815
• 
  Shreya Shankar, Aditya G. Parameswaran:
  Building Reactive Large Language Model Pipelines with Motion. SIGMOD Conference Companion 2024: 520-523
• 
  Pragya Kallanagoudar, Chithra Anand, Rolando Garcia, Rebecca M. M. Hicke, Aditya G. Parameswaran, Eunice Jun, Sarah E. Chasins:
  Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets. UIST (Adjunct Volume) 2024: 14:1-14:4
• 
  Shreya Shankar, J. D. Zamfirescu-Pereira, Bjoern Hartmann, Aditya G. Parameswaran, Ian Arawjo:
  Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. UIST 2024: 131:1-131:14
• 
  Francesco Regazzoni, Bodhisatwa Mazumdar, Sri Parameswaran:
  Security, Privacy, and Applied Cryptography Engineering - 13th International Conference, SPACE 2023, Roorkee, India, December 14-17, 2023, Proceedings. Lecture Notes in Computer Science 14412, Springer 2024, ISBN 978-3-031-51582-8 [contents]
• 
  Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
  SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR abs/2401.03038 (2024)
• 
  Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher:
  Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR abs/2401.03058 (2024)
• 
  Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
  MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR abs/2401.08893 (2024)
• 
  Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic:
  Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR abs/2402.06734 (2024)
• 
  Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
  LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024)
• 
  Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
  Informativeness of Reward Functions in Reinforcement Learning. CoRR abs/2402.07019 (2024)

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