Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
Deep Learning
1752 directly classified papers
Papers per year
2007: 1
2008: 1
2010: 2
2011: 2
2012: 3
2013: 14
2014: 12
2015: 20
2016: 48
2017: 98
2018: 154
2019: 205
2020: 255
2021: 205
2022: 198
2023: 160
2024: 208
2025: 163
2026: 3
Papers
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
AAAI 2023
Faithful Heteroscedastic Regression with Neural Networks
AISTATS 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
AAAI 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
AAAI 2023
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
AAAI 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
AAAI 2023
Deep Attentive Model for Knowledge Tracing
AAAI 2023
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
CVPR 2023
Dropout as a Regularizer of Interaction Effects
AISTATS 2022
The Tree Loss: Improving Generalization with Many Classes
AISTATS 2022
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
NAACL 2022
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES
NAACL 2022
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
NAACL 2022
Massive-scale Decoding for Text Generation using Lattices
NAACL 2022
Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models
NAACL 2022
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
NAACL 2022
Incorporating Centering Theory into Neural Coreference Resolution
NAACL 2022
Selective Differential Privacy for Language Modeling
NAACL 2022
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
NAACL 2022
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN
NAACL 2022
Provably Confidential Language Modelling
NAACL 2022
Listen only to me! How well can target speech extraction handle false alarms?
INTERSPEECH 2022
Speak Like a Professional: Increasing Speech Intelligibility by Mimicking Professional Announcer Voice with Voice Conversion
INTERSPEECH 2022
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
AAAI 2022
<
1
…
21
22
23
…
71
>