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Explaining and Improving Model Behavior with k Nearest Neighbor
  Representations

Explaining and Improving Model Behavior with k Nearest Neighbor Representations

18 October 2020
Nazneen Rajani
Ben Krause
Wengpeng Yin
Tong Niu
R. Socher
Caiming Xiong
    FAtt
ArXivPDFHTML

Papers citing "Explaining and Improving Model Behavior with k Nearest Neighbor Representations"

12 / 12 papers shown
Title
Latent Concept-based Explanation of NLP Models
Latent Concept-based Explanation of NLP Models
Xuemin Yu
Fahim Dalvi
Nadir Durrani
Marzia Nouri
Hassan Sajjad
LRM
FAtt
29
2
0
18 Apr 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of
  Subjective Tasks
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
34
0
0
22 Feb 2024
How do languages influence each other? Studying cross-lingual data
  sharing during LM fine-tuning
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni
Dan Garrette
Ekaterina Shutova
40
16
0
22 May 2023
Contrastive Error Attribution for Finetuned Language Models
Contrastive Error Attribution for Finetuned Language Models
Faisal Ladhak
Esin Durmus
Tatsunori Hashimoto
HILM
32
9
0
21 Dec 2022
Interpreting Embedding Spaces by Conceptualization
Interpreting Embedding Spaces by Conceptualization
Adi Simhi
Shaul Markovitch
24
5
0
22 Aug 2022
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
19
44
0
20 Oct 2021
On Training Instance Selection for Few-Shot Neural Text Generation
On Training Instance Selection for Few-Shot Neural Text Generation
Ernie Chang
Xiaoyu Shen
Hui-Syuan Yeh
Vera Demberg
33
40
0
07 Jul 2021
Combining Feature and Instance Attribution to Detect Artifacts
Combining Feature and Instance Attribution to Detect Artifacts
Pouya Pezeshkpour
Sarthak Jain
Sameer Singh
Byron C. Wallace
TDI
18
43
0
01 Jul 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
41
102
0
31 Dec 2020
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
190
576
0
02 May 2018
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
232
200
0
06 Jul 2017
One Sentence One Model for Neural Machine Translation
One Sentence One Model for Neural Machine Translation
Xiaoqing Li
Jiajun Zhang
Chengqing Zong
AI4CE
128
62
0
21 Sep 2016
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