L. Schimdt

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Schimdt trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from L. Schimdt's perspective

Ordered by how strongly the researchers L. Schimdt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Multiple Layers of Features from Tiny Images
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. VQA: Visual Question Answering
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
  8. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  9. Flamingo: a Visual Language Model for Few-Shot Learning (Neural Information Processing Systems)
  10. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Their papers