Parth Kothari

4 papers · 2020–2022 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

❓ The Questioner

Venues

AAAI (1) CoRL (1) CVPR (1) NeurIPS (1)

Top co-authors

Alexandre Alahi (4) Yuejiang Liu (3) Brian Sifringer (1) Baptiste Bellot-Gurlet (1) Taylor Mordan (1) Danya Li (1) Bastien van Delft (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Computer Vision (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1) Generation (1) Learning Paradigms (1) Models (1)

Keywords

domain adaptation (2) contrastive learning (1) image generation (1) transfer learning (1) self-supervised learning (1) trajectory prediction (1) motion forecasting (1) trajectory forecasting (1) distribution shift (1) low-rank adaptation (1) generative adversarial network (1) gradient-based update (1) social interaction (1) modular adapter (1) discrete choice model (1) neural network (1) multi-agent system (1) test-time training (1) collaborative sampling (1) discriminator shaping (1)

Papers

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting CoRL 2022 Interpretable Social Anchors for Human Trajectory Forecasting in Crowds CVPR 2021 TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS 2021 Collaborative Sampling in Generative Adversarial Networks AAAI 2020