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Computer Science & Machine Learning Papers · Library

Computer-science and machine-learning research papers operate through the conference-proceedings-as-prestige-publication culture covered under journal-root-cs, with the post-2017 transformer-architecture revolution (the "Attention Is All You Need" paper from Vaswani et al at Google in 2017) plus the post-2020 large-language-model breakthrough (GPT-3 in 2020, ChatGPT public release November 2022, GPT-4 March 2023, GPT-4o May 2024, the broader 2022-2024 generative-AI revolution) reshaping the entire CS publication landscape. The annual NeurIPS submission count crossed 17,500 in 2024 with similarly large submission counts at ICML, ICLR, AAAI, EMNLP, ACL. The arXiv cs.CL (computational linguistics, where most LLM research lives) and cs.LG (machine learning) archives receive 100,000+ submissions annually combined.\n\nThe major sub-areas of CS-and-ML research output: computer vision (NeurIPS, CVPR, ICCV, ECCV, the major CV conferences), natural language processing (ACL, EMNLP, NAACL, the major NLP conferences plus the rapidly-growing post-2020 LLM research at NeurIPS / ICML / ICLR), reinforcement learning (the DeepMind / OpenAI / Anthropic / Google Brain RL research dominant at NeurIPS / ICML), AI safety and alignment (the substantial post-2022 expansion at NeurIPS / ICML alignment workshops plus dedicated venues like AI Safety Workshop, plus the substantial Anthropic / OpenAI / DeepMind research output), robotics (RSS, ICRA, IROS, CoRL), theoretical CS (FOCS, STOC, COLT for learning theory), systems (OSDI, SOSP, NSDI), security (S&P, USENIX Security, CCS), databases (SIGMOD, VLDB, ICDE), HCI (CHI, UIST, CSCW), graphics (SIGGRAPH, SIGGRAPH Asia, EG), programming languages (PLDI, POPL, OOPSLA), software engineering (ICSE, FSE, ASE).\n\nIndia's CS-and-ML research-paper output has expanded substantially through 2010-2024. The major Indian institutions producing substantial CS-and-ML research output: IIT CSE departments at Bombay, Madras, Delhi, Kanpur, Kharagpur, Hyderabad, Guwahati, Roorkee, Mandi, Bhilai, Patna, Indore, Ropar, Jodhpur, Tirupati; IIIT-Hyderabad (consistently among India's strongest CS-research institutions, with substantial NLP and computer-vision-research output); IISc Department of Computer Science and Automation; IIIT-Bangalore; IIIT-Allahabad; IIIT-Delhi; the substantial post-2010 emergence of Microsoft Research India (with substantial NLP-and-systems-research), IBM Research India, Adobe Research India, Google Research India, the rapidly-growing post-2020 OpenAI / Anthropic / DeepMind India research presence (still small but growing). Indian-origin AI-research community has been disproportionately influential in modern AI development — substantial Indian-origin senior researchers at OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft Research, plus the rapidly-growing Indian AI startup ecosystem (Krutrim, Sarvam AI, the Sutra family, plus the substantial Indian application-layer AI startups). The post-2020 Cohere-and-Hugging Face-and-AI-research-democratisation infrastructure has substantially expanded Indian researcher access.\n\nFor a globally-mobile CS-and-ML researcher, the conference-and-arXiv infrastructure is uniformly cross-jurisdictionally accessible.\n\nCross-references: CS-and-ML papers intersect with journal-root-cs, academy-computer-science, journal-root-archives (the arXiv-cs primary distribution), cert-root-data, the broader work-root-career-paths, and the rapidly-evolving AI economy.