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)

Optimizing Word Segmentation for Downstream Task EMNLP 2020 Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification AAAI 2020 Orderless Recurrent Models for Multi-Label Classification CVPR 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 2020 OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold CVPR 2020 Orthogonal Convolutional Neural Networks CVPR 2020 Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020 Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax CVPR 2020 Overlap Sampler for Region-Based Object Detection WACV 2020 OVL: One-View Learning for Human Retrieval AAAI 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Pair Expansion for Learning Multilingual Semantic Embeddings Using Disjoint Visually-Grounded Speech Audio Datasets Interspeech 2020 Parallel Corpus Filtering via Pre-trained Language Models ACL 2020 Parallel Data Augmentation for Formality Style Transfer ACL 2020 Parallel Sentence Mining by Constrained Decoding ACL 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NeurIPS 2020 Pareto Probing: Trading Off Accuracy for Complexity EMNLP 2020 Parsing as Pretraining AAAI 2020 Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification CVPR 2020 Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank EMNLP 2020 Part-Aware Context Network for Human Parsing CVPR 2020 Part-dependent Label Noise: Towards Instance-dependent Label Noise NeurIPS 2020 Partial Label Learning with Batch Label Correction AAAI 2020 Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages EMNLP 2020