Rob Fergus
Professor of Computer Science
Works on computer vision and deep learning, including visual recognition, generative models and reinforcement learning.
Rob Fergus's lab at NYU works on recognition, detection & segmentation, reinforcement learning and generative & foundation models. 16 papers since 2023, 16 at top venues, mostly ICLR and ICML. 3 PhD students. 14 alumni, most often to Amazon. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 100%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 14
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 4 papers2025 · T1 4
- 5 papers2024 · T1 5
- 5 papers2023 · T1 5
T1 venuesOtherVenues: ICLR, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning4 papers
- Generative & foundation models4 papers
- Recognition, detection & segmentation0 papers
- visual recognition0 papers
- courant0 papers
Paper list
From DBLP.
20262 papers
20254 papers
- ICLR (T1)BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games (opens in a new tab)
- ICLR (T1)Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction (opens in a new tab)
- ICLR (T1)Training Language Models on Synthetic Edit Sequences Improves Code Synthesis (opens in a new tab)
- NeurIPS (T1)Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration (opens in a new tab)
20245 papers
- ICML (T1)A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks (opens in a new tab)
- ICLR (T1)Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders (opens in a new tab)
- NeurIPS (T1)Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (opens in a new tab)
- ICML (T1)diff History for Neural Language Agents (opens in a new tab)
- ICML (T1)USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval (opens in a new tab)
20235 papers
- ICML (T1)Distilling Internet-Scale Vision-Language Models into Embodied Agents (opens in a new tab)
- ICLR (T1)Learning About Progress From Experts (opens in a new tab)
- NeurIPS (T1)NetHack is Hard to Hack (opens in a new tab)
- ICML (T1)Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC (opens in a new tab)
- ICLR (T1)Teacher Guided Training: An Efficient Framework for Knowledge Transfer (opens in a new tab)
Where alumni went14 listed, 25% to industry
Industry 1Academia 3
Most often to
- Amazon
Also to
- MIT
- UC Berkeley
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- DBLP
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