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Doyen Sahoo

23 papers · 2016–2025 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (10) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (109)

Venues

ICLR (7) ICML (5) EMNLP (2) JMLR (2) ACL (1) ACML (1) CVPR (1) ECCV (1) IJCAI (1) NAACL (1) NeurIPS (1)

Top co-authors

Chenghao Liu (10) Caiming Xiong (9) Steven Hoi (8) Silvio Savarese (6) Hung Le (6) Amrita Saha (5) Gerald Woo (5) Steven C.H. Hoi (4) Yingbo Zhou (3) Akshat Kumar (3)

Research topics

Machine Learning (14) Artificial Intelligence (13) Core AI (11) Deep Learning (8) Learning Types Β· Machine Learning (8) Core Methods (6) Natural Language Processing (5) Generation (5) Data Science & Analytics (4) Application Areas (4) Learning Types Β· Deep Learning (4) Architectures (3) Methods (3) Optimization & Theory (3) Computer Science (2)

Keywords

online learning (5) time series forecasting (4) large language model (3) code generation (3) multimodal learning (2) anomaly detection (2) dialogue system (2) pretraining (2) continual learning (2) video-grounded dialogue (2) transformer (2) logical reasoning (1) feature learning (1) preference learning (1) embedding learning (1) object detection (1) adversarial learning (1) contrastive learning (1) curriculum learning (1) feature extraction (1)

Papers

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction ICML 2025 Automatic Curriculum Expert Iteration for Reliable LLM Reasoning ICLR 2025 CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models NAACL 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts ICML 2025 Reward-Guided Speculative Decoding for Efficient LLM Reasoning ICML 2025 ThinK: Thinner Key Cache by Query-Driven Pruning ICLR 2025 CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules ICLR 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting ICLR 2022 Contextual Transformation Networks for Online Continual Learning ICLR 2021 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection ICLR 2021 Adaptive Task Sampling for Meta-Learning ECCV 2020 BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues EMNLP 2020 UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues EMNLP 2020 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems ACL 2019 Online Deep Learning: Learning Deep Neural Networks on the Fly IJCAI 2018 Cost Sensitive Online Multiple Kernel Classification ACML 2016 OLPS: A Toolbox for On-Line Portfolio Selection JMLR 2016