Aditya Ramesh

12 papers · 2016–2025 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🧭 Keyword Pioneer 🏆 Grand Slam 👥 Mega-Team · Squad 🚀 Conference Pioneer 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (57)

Venues

ICML (6) NeurIPS (3) AAAI (1) ICLR (1) WACV (1)

Top co-authors

Ilya Sutskever (5) Alec Radford (4) Louis Kirsch (4) Jürgen Schmidhuber (4) Mark Chen (4) Jack Clark (2) Rewon Child (2) Scott Gray (2) Gretchen Krueger (2) Gabriel Goh (2)

Research topics

Artificial Intelligence (7) Core AI (7) Machine Learning (6) Deep Learning (5) Reinforcement Learning (4) Learning Types (4) Methods (4) Computer Vision (3) Architectures (3) Learning Paradigms (3) Models (3) Core Methods (2) Generation (2) Application Areas (1) Applications (1)

Keywords

autoregressive model (3) zero-shot learning (2) neural network (2) reinforcement learning (2) image generation (2) generative model (2) image compression (1) policy learning (1) few-shot learning (1) multimodal learning (1) data augmentation (1) adversarial training (1) sample efficiency (1) text-to-image generation (1) weight sharing (1) text-to-image synthesis (1) model-based reinforcement learning (1) image inpainting (1) value function (1) transfer learning (1)

Papers

EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING ICLR 2025 Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning ICML 2024 Goal-Conditioned Generators of Deep Policies AAAI 2023 The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023 Exploring through Random Curiosity with General Value Functions NeurIPS 2022 GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models ICML 2022 Learning Transferable Visual Models From Natural Language Supervision ICML 2021 Zero-Shot Text-to-Image Generation ICML 2021 CompressNet: Generative Compression at Extremely Low Bitrates WACV 2020 Distribution Augmentation for Generative Modeling ICML 2020 Language Models are Few-Shot Learners NeurIPS 2020 Disentangling factors of variation in deep representation using adversarial training NeurIPS 2016