conftrace_

information flow

49 papers

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attention mechanism (4001) model compression (3302) large language model (13587) neural network (6616) multimodal learning (4645) representation learning (6206) token representation (45) graph neural network (3962) mechanistic interpretability (133) recurrent neural network (1790)

Papers

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning EMNLP 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models EMNLP 2023
VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers EMNLP 2023
Elastic-Link for Binarized Neural Networks AAAI 2022
Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup EMNLP 2022
Directed Acyclic Graph Network for Conversational Emotion Recognition IJCNLP 2021
Influence Patterns for Explaining Information Flow in BERT NIPS 2021
Towards a Model-Theoretic View of Narratives NAACL 2021
Architecture Disentanglement for Deep Neural Networks ICCV 2021
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NIPS 2021
Screening Gender Transfer in Neural Machine Translation EMNLP 2021
SURPRISE! and When to Schedule It. IJCAI 2021
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances ACL 2021
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR 2021
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021
Quantifying Attention Flow in Transformers ACL 2020
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components AISTATS 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020
Heterogeneous Knowledge Distillation Using Information Flow Modeling CVPR 2020
Reading selectively via Binary Input Gated Recurrent Unit IJCAI 2019
Visualizing Trends of Key Roles in News Articles EMNLP 2019
Deep Convolutional Neural Networks with Merge-and-Run Mappings IJCAI 2018
Learning Hierarchical Information Flow with Recurrent Neural Modules NIPS 2017
Training Very Deep Networks NIPS 2015