Interpreting Embedding Spaces by Conceptualization

22 August 2022

Papers citing "Interpreting Embedding Spaces by Conceptualization"

29 / 29 papers shown

Title
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li Huijun Liu Shangwen Wang Bin Ji Bing Ji ... Jun Ma Jie Yu Xiaodong Liu Jing Wang Weimin Zhang KELM 112 5 0 31 Jan 2024
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Jianmo Ni Gustavo Hernández Ábrego Noah Constant Ji Ma Keith B. Hall Daniel Cer Yinfei Yang 204 557 0 19 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 69 231 0 10 Aug 2021
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors Zeyu Yun Yubei Chen Bruno A. Olshausen Yann LeCun 56 77 0 29 Mar 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 94 249 0 01 Jan 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 66 122 0 27 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 51 773 0 16 Nov 2020
Explaining and Improving Model Behavior with k Nearest Neighbor Representations Nazneen Rajani Ben Krause Wengpeng Yin Tong Niu R. Socher Caiming Xiong FAtt 45 33 0 18 Oct 2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings Binny Mathew Sandipan Sikdar Florian Lemmerich M. Strohmaier 29 36 0 27 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan O. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 228 305 0 17 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 621 24,431 0 26 Jul 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 215 1,594 0 11 Jun 2019
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae Piero Molino Yang Wang Jiawei Zhang 39 9 0 28 May 2019
BERT Rediscovers the Classical NLP Pipeline Ian Tenney Dipanjan Das Ellie Pavlick MILM SSeg 135 1,471 0 15 May 2019
Analytical Methods for Interpretable Ultradense Word Embeddings Philipp Dufter Hinrich Schütze 51 25 0 18 Apr 2019
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models Fahim Dalvi Nadir Durrani Hassan Sajjad Yonatan Belinkov A. Bau James R. Glass MILM 61 190 0 21 Dec 2018
Identifying and Controlling Important Neurons in Neural Machine Translation A. Bau Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass MILM 64 184 0 03 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,770 0 11 Oct 2018
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell Pia Sommerauer Antske Fokkens 45 29 0 05 Sep 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure Lutfi Kerem Senel Ihsan Utlu Furkan Şahinuç H. Ozaktas Aykut Kocc 58 14 0 19 Jul 2018
SPINE: SParse Interpretable Neural Embeddings Anant Subramanian Danish Pruthi Harsh Jhamtani Taylor Berg-Kirkpatrick Eduard H. Hovy 37 131 0 23 Nov 2017
Semantic Structure and Interpretability of Word Embeddings Lutfi Kerem Senel Ihsan Utlu Veysel Yücesoy Aykut Koç Tolga Çukur 55 105 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 86 838 0 16 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Linear Algebraic Structure of Word Senses, with Applications to Polysemy Sanjeev Arora Yuanzhi Li Yingyu Liang Tengyu Ma Andrej Risteski 75 282 0 14 Jan 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 266 6,107 0 04 Sep 2015