conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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Papers (including subtopics)

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018 Sobolev GAN ICLR 2018 SocialNLP 2018 EmotionX Challenge Overview: Recognizing Emotions in Dialogues ACL 2018 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018 Sparse and Constrained Attention for Neural Machine Translation ACL 2018 Speaker and Language Recognition -- From Laboratory Technologies to the Wild Interspeech 2018 Speaker Diarization with Enhancing Speech for the First DIHARD Challenge Interspeech 2018 Spectral Signatures in Backdoor Attacks NeurIPS 2018 Speech Emotion Recognition Using Spectrogram & Phoneme Embedding Interspeech 2018 Speech Processing in the Human Brain Meets Deep Learning Interspeech 2018 Spherical Latent Spaces for Stable Variational Autoencoders EMNLP 2018 Spline Filters For End-to-End Deep Learning ICML 2018 SplineNets: Continuous Neural Decision Graphs NeurIPS 2018 Split and Rephrase: Better Evaluation and Stronger Baselines ACL 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation IJCAI 2018 StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization IJCAI 2018 Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal CVPR 2018 Stacked Latent Attention for Multimodal Reasoning CVPR 2018 Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning NeurIPS 2018 StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation CVPR 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks CVPR 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Stock Price Prediction Using Attention-based Multi-Input LSTM ACML 2018