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Navdeep Jaitly

33 papers · 2014–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9)
πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (11) πŸ‘₯ Mega-Team (34) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (117) πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ’Ž Century Club (33)

Conferences

ICML (8) INTERSPEECH (7) NIPS (7) ACL (3) ICLR (3) EMNLP (2) COLING (1) RSS (1) WACV (1)

Papers

Normalizing Flows are Capable Generative Models ICML 2025 Denoising Autoregressive Transformers for Scalable Text-to-Image Generation ICLR 2025 Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models ACL 2025 Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025 Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion ICML 2025 SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation EMNLP 2025 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 Swallowing the Bitter Pill: Simplified Scalable Conformer Generation ICML 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NIPS 2024 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NIPS 2024 Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ACL 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation COLING 2024 Matryoshka Diffusion Models ICLR 2024 REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation WACV 2024 PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model NIPS 2023 Robotic Table Tennis: A Case Study into a High Speed Learning System RSS 2023 Continuous pseudo-labeling from the start ICLR 2023 Efficient Representation Learning via Adaptive Context Pooling ICML 2022 Position Prediction as an Effective Pretraining Strategy ICML 2022 Imputer: Sequence Modelling via Imputation and Dynamic Programming ICML 2020 Speech Recognition for Medical Conversations INTERSPEECH 2018 Tacotron: Towards End-to-End Speech Synthesis INTERSPEECH 2017 Sequence-to-Sequence Models Can Directly Translate Foreign Speech INTERSPEECH 2017 An Analysis of β€œAttention” in Sequence-to-Sequence Models INTERSPEECH 2017 Towards Better Decoding and Language Model Integration in Sequence to Sequence Models INTERSPEECH 2017 An RNN Model of Text Normalization INTERSPEECH 2017 A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017 Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016 An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016 Pointer Networks NIPS 2015 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015 Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014