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Deep Learning
1397 directly classified papers
Papers per year
2006: 3
2007: 4
2008: 3
2011: 5
2012: 11
2013: 4
2014: 4
2015: 3
2016: 26
2017: 50
2018: 67
2019: 107
2020: 163
2021: 131
2022: 139
2023: 166
2024: 277
2025: 233
2026: 1
Papers
Building a corpus for the anonymization of Romanian jurisprudence
EACL 2024
Zavira@DravidianLangTech 2024:Telugu hate speech detection using LSTM
EACL 2024
CUET_DUO@DravidianLangTech EACL2024: Fake News Classification Using Malayalam-BERT
EACL 2024
JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification
EACL 2024
Lidoma@LT-EDI 2024:Tamil Hate Speech Detection in Migration Discourse
EACL 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
SEMEVAL 2024
Confidence Calibration of Classifiers with Many Classes
NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
NIPS 2024
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
SEMEVAL 2024
Cheap Ways of Extracting Clinical Markers from Texts
EACL 2024
Topic-Aware Causal Intervention for Counterfactual Detection
EMNLP 2024
Exploring the impact of noise in low-resource ASR for Tamil
EACL 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
EMNLP 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience
NIPS 2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges
EMNLP 2024
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints
EMNLP 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
NIPS 2024
Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models
EACL 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
AISTATS 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights
EMNLP 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
NIPS 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
Knowledge Conflicts for LLMs: A Survey
EMNLP 2024
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