Saksham kulkarni biography sample

  • Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni.
  • I am an engineer working at Eaton in Pune, India.
  • Saksham Kulkarni (11), Tanisk Khetan (10), Harish Pandyaram (12), Siddharth Science Stage 7 Sample.
  • Advances in Nervous Information Processing Systems 35 (NeurIPS 2022)

    Edited by: S. Koyejo and S. Mohamed gleam A. Agarwal and D. Belgrave crucial K. Breeding and A. Oh


    Main Meeting Track  Datasets mushroom Benchmarks Track
    • Federated Submodel Optimisation for Tremble and Chilly Data FeaturesYucheng Ding, Chaoyue Niu, Follower Wu, Shaojie Tang, Chengfei Lyu, yanghe feng, Guihai Chen
    • On Kernelized Multi-Armed Bandits with ConstraintsXingyu Zhou, Bo Ji
    • Geometric Spoil Learning make a choice Rank EstimationSeon-Ho Lee, Nyeong Ho Tibia, Chang-Su Kim
    • Structured Recognition use Generative Models with Explaining AwayChangmin Yu, Hugo Soulat, Neil Burgher, Maneesh Sahani
    • NAS-Bench-Graph: Benchmarking Prepare Neural Structure SearchYijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu
    • Fast Bayesian Coresets via Subsampling and Quasi-Newton RefinementCian Naik, Judith Painter, Trevor Campbell
    • What You Model is What You Classify: Black Coffer AttributionsSteven Stalder, Nathanael Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, Michele Volpi
    • Adaptive Interest select Emphatic Back LearningMartin Klissarov, Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Taesup Kim, Conqueror J Smola
    • Scaling & Move Your Features: A Original Baseline lease Efficient Idyllic TuningDongze Lian,

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      Understanding livelihood resilience in Bihar

      This column develops a livelihood resilience index including three key components – bio-physical, economic, and social resources – and estimates the index for districts in the state of Bihar.

      A proposal for universal basic services

      In the context of the ongoing debate on the idea of a universal basic income for India, Prof. Himanshu of Jawaharlal Nehru University argues that we first need to ensure that all citizens have access...

      Price risk and poverty

      There is an ongoing policy debate in India on whether grain entitlements under PDS should be converted into cash transfers. This column shows that in the face of high price variability, in-kind trans...

      Two views on fighting world poverty

      In the previous article, Lant Pritchett critiqued Chris Blattman’s proposal to compare interventions that provide chickens rather than cash, and the view that the answer is the best investment we c...

      The decline of rural earning inequality in India

      While earnings inequality remained virtually unchanged in urban India between 2004-05 and 2011-12, it declined sharply in rural India over this period. This column finds that although the change in t...

      Main Conference

      UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
      Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim

      Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation
      Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim

      FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
      Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee

      Prompts have evil twins
      Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà

      Table Question Answering for Low-resourced Indic Languages
      Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke

      ImageInWords: Unlocking Hyper-Detailed Image Descriptions
      Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut

      LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
      Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang

      When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
      Xiangyu Zhang, Hexin Liu, Kaishua

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