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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
Verification of neural reachable tubes via scenario optimization and conformal prediction
L4DC 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off
L4DC 2024
System-level safety guard: Safe tracking control through uncertain neural network dynamics models
L4DC 2024
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction
L4DC 2024
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control
L4DC 2024
Mapping back and forth between model predictive control and neural networks
L4DC 2024
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction
L4DC 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback
L4DC 2024
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks
NAACL 2024
R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces
NAACL 2024
Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis
NAACL 2024
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
NAACL 2024
DLM: A Decoupled Learning Model for Long-tailed Polyphone Disambiguation in Mandarin
NAACL 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models
NAACL 2024
Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
NAACL 2024
CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.
NAACL 2024
SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts
NAACL 2024
Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model
NAACL 2024
Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures
NAACL 2024
Testing the limits of logical reasoning in neural and hybrid models
NAACL 2024
Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
NAACL 2024
Word-level prediction in Plains Cree: First steps
NAACL 2024
Analyzing Finetuned Vision Models for Mixtec Codex Interpretation
NAACL 2024
NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations
NAACL 2024
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis
NAACL 2024
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