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Deep Learning
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Neural Networks
11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
Neural Texture Synthesis With Guided Correspondence
CVPR 2023
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
EACL 2023
BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks
EACL 2023
An In-depth Analysis of Implicit and Subtle Hate Speech Messages
EACL 2023
PANACEA: An Automated Misinformation Detection System on COVID-19
EACL 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks
EACL 2023
Longtonotes: OntoNotes with Longer Coreference Chains
EACL 2023
Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation
EACL 2023
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
EACL 2023
A Survey on Dynamic Neural Networks for Natural Language Processing
EACL 2023
Dialect Representation Learning with Neural Dialect-to-Standard Normalization
EACL 2023
Using Ensemble Learning in Language Variety Identification
EACL 2023
Analyzing Modular Approaches for Visual Question Decomposition
EMNLP 2023
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure
EMNLP 2023
Efficient Classification of Long Documents via State-Space Models
EMNLP 2023
On the Representational Capacity of Recurrent Neural Language Models
EMNLP 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
EMNLP 2023
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation
EMNLP 2023
On the Benefits of Learning to Route in Mixture-of-Experts Models
EMNLP 2023
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity
EMNLP 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing
EMNLP 2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
EMNLP 2023
YATO: Yet Another deep learning based Text analysis Open toolkit
EMNLP 2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
EMNLP 2023
E2E Spoken Entity Extraction for Virtual Agents
EMNLP 2023
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