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629 directly classified papers
Papers per year
2006: 2
2007: 1
2008: 2
2009: 3
2010: 4
2011: 4
2012: 6
2013: 6
2014: 3
2015: 4
2016: 23
2017: 37
2018: 39
2019: 41
2020: 67
2021: 65
2022: 82
2023: 81
2024: 89
2025: 63
2026: 7
Papers
CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction
CVPR 2017
Parsing Images of Overlapping Organisms With Deep Singling-Out Networks
CVPR 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming
IJCAI 2017
Input Convex Neural Networks
ICML 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
AISTATS 2017
Neural Machine Translation: Basics, Practical Aspects and Recent Trends
IJCNLP 2017
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
IJCNLP 2017
XMU Neural Machine Translation Online Service
IJCNLP 2017
Neuramanteau: A Neural Network Ensemble Model for Lexical Blends
IJCNLP 2017
Improving a Strong Neural Parser with Conjunction-Specific Features
EACL 2017
A Network-based End-to-End Trainable Task-oriented Dialogue System
EACL 2017
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
EMNLP 2017
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video
EMNLP 2017
Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
CONLL 2017
Visual Interaction Networks: Learning a Physics Simulator from Video
NIPS 2017
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
NIPS 2017
Dual Path Networks
NIPS 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
EACL 2017
Neural Automatic Post-Editing Using Prior Alignment and Reranking
EACL 2017
Paraphrasing Revisited with Neural Machine Translation
EACL 2017
Neural Machine Translation with Source Dependency Representation
EMNLP 2017
Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis
INTERSPEECH 2016
Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation
INTERSPEECH 2016
Self-Adaptive DNN for Improving Spoken Language Proficiency Assessment
INTERSPEECH 2016
DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring
INTERSPEECH 2016
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