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Antonio B. Torralba

Antonio B. Torralba has 3 papers in our library, in 2015–2024, most of them on Language models & pretraining, Question answering, Reasoning; often with Joshua B. Tenenbaum, Chuanyang Jin, Igor Mordatch.

3 papers in our library · 2015–2024

OpenAlex · ORCID · Wikidata · h-index 127 · 580 works · 102,114 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 2,894 times in our library · 30 more in our library without a page yet · ⭐ Paper Stars ranking: #871

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books (2015 · 3,083 citations)
    The paper asks whether novels can supply rich, story-level descriptions for film footage, going far beyond the short captions found in existing vision-language datasets.
  2. Improving Factuality and Reasoning in Language Models through Multiagent Debate (2023 · 587 citations)
    LLMs often state invented facts with confidence or make unjustified leaps in multi-step reasoning. Earlier fixes such as chain-of-thought, self-verification and reflection all work inside a single model instance. This paper instead runs several copies of a language model as separate "agents." Each agent first answers…
  3. MMToM-QA: Multimodal Theory of Mind Question Answering (2024 · 44 citations)
    Existing Theory of Mind (ToM) benchmarks test models on a single modality, either video or text. Human mental-state reasoning, however, combines whatever evidence is available. The authors introduce MMToM-QA, a benchmark that pairs household activity videos with textual descriptions of the scene and the person's…

All works

33 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Learning Deep Features for Discriminative Localization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBolei Zhou et al.2016 · 10,833 citations
  2. Scene Parsing through ADE20K Dataset ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBolei Zhou et al.2017 · 3,275 citations
  3. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksarXiv:1506.06724Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  4. Network Dissection: Quantifying Interpretability of Deep Visual Representations ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDavid Anthony Bau et al.2017 · 1,396 citations
  5. Skip-Thought Vectors ↗arXiv (Cornell University) · no summary yetRyan Kiros et al.2015 · 1,267 citations
  6. Eye Tracking for Everyone ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKyle Krafka et al.2016 · 924 citations
  7. MovieQA: Understanding Stories in Movies through Question-Answering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMakarand Tapaswi et al.2016 · 778 citations
  8. BARF: Bundle-Adjusting Neural Radiance Fields ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetChen-Hsuan Lin et al.2021 · 645 citations
  9. Improving Factuality and Reasoning in Language Models through Multiagent DebatearXiv:2305.14325Yilun Du, Shuang Li, Antonio Torralba, et al.2023 · 587 citations
  10. Anticipating Visual Representations from Unlabeled Video ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCarl Vondrick, Hamed Pirsiavash, Antonio B. Torralba2016 · 538 citations
  11. Gaze360: Physically Unconstrained Gaze Estimation in the Wild ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetPetr Kellnhofer et al.2019 · 472 citations
  12. Learning Cross-Modal Embeddings for Cooking Recipes and Food Images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmaia Salvador et al.2017 · 430 citations
  13. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding ↗arXiv:1810.02338 · no summary yetKexin Yi et al.2018 · 407 citations
  14. Visually Indicated Sounds ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAndrew Owens et al.2016 · 358 citations
  15. Learning to share visual appearance for multiclass object detection ↗no summary yetRuslan Salakhutdinov, Antonio B. Torralba, Joshua B. Tenenbaum2011 · 338 citations
  16. Dataset Distillation by Matching Training Trajectories ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGeorge Cazenavette et al.2022 · 300 citations
  17. HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHang Zhao et al.2017 · 264 citations
  18. Dataset Issues in Object Recognition ↗Lecture notes in computer science · no summary yetJean Ponce et al.2006 · 207 citations
  19. Learning Aligned Cross-Modal Representations from Weakly Aligned Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLluís Castrejón et al.2016 · 191 citations
  20. Understanding the Intrinsic Memorability of Images ↗no summary yetPhillip Isola et al.2011 · 173 citations
  21. Generating the Future with Adversarial Transformers ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCarl Vondrick, Antonio B. Torralba2017 · 160 citations
  22. Through-Wall Human Mesh Recovery Using Radio Signals ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetMingmin Zhao et al.2019 · 131 citations
  23. Pre-Trained Language Models for Interactive Decision-Making ↗arXiv:2202.01771 · no summary yetShuang Li et al.2022 · 124 citations
  24. Dataset Distillation ↗arXiv:1811.10959 · no summary yetTongzhou Wang et al.2018 · 97 citations
  25. Skill Induction and Planning with Latent Language ↗arXiv:2110.01517 · no summary yetPratyusha Sharma, Antonio Torralba, Jacob Andreas2021 · 73 citations

See all 33 works by Antonio B. Torralba →

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 2,894 times (of the 149,439 papers whose bibliographies we read); 455 citing papers with a page here →.

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