Filter your results
- 6
- 1
- 6
- 1
- 1
- 5
- 5
- 1
- 6
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 6
- 1
- 3
- 3
- 3
- 2
- 2
- 1
- 6
|
|
sorted by
|
|
It Takes Two to Tango: Mixup for Deep Metric LearningICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, Virtual, France. pp.1-21
Conference papers
hal-03577949v1
|
||
|
Can we guide a multi-hop reasoning language model to incrementally learn at each single-hop?29th International Conference on Computational Linguistics (COLING 2022), Oct 2022, Gyeongju, South Korea. pp.1455-1466
Conference papers
hal-03885173v1
|
||
|
AlignMixup: Improving Representations By Interpolating Aligned FeaturesCVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. pp.1-13
Conference papers
hal-03620779v1
|
||
|
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesSIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid, Spain. ⟨10.1145/3477495.3531753⟩
Conference papers
hal-03650618v1
|
||
|
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering2023
Preprints, Working Papers, ...
hal-03933089v1
|
||
|
Bazinga! A Dataset for Multi-Party Dialogues Structuring13th Conference on Language Resources and Evaluation (LREC 2022), European Language Resources Association (ELRA), Jun 2022, Marseille, France. pp.3434-3441
Conference papers
hal-03737453v1
|