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)

Multilingual Neural Machine Translation with Language Clustering EMNLP 2019 Multilingual Neural Machine Translation With Soft Decoupled Encoding ICLR 2019 Multilingual NMT with a Language-Independent Attention Bridge ACL 2019 Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders ACL 2019 Multilingual word translation using auxiliary languages EMNLP 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Multimodal and Multi-view Models for Emotion Recognition ACL 2019 Multimodal Logical Inference System for Visual-Textual Entailment ACL 2019 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource Languages EMNLP 2019 Multi-modal Representation Learning for Successive POI Recommendation ACML 2019 Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model ACL 2019 Multimodal Transformer for Unaligned Multimodal Language Sequences ACL 2019 Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019 Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering EMNLP 2019 Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search AAAI 2019 Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training EMNLP 2019 MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension ACL 2019 Multi-Relational Script Learning for Discourse Relations ACL 2019 Multi-Resolution Weak Supervision for Sequential Data NeurIPS 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 Multi-Source Cross-Lingual Model Transfer: Learning What to Share ACL 2019 Multi-source Domain Adaptation for Semantic Segmentation NeurIPS 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation ACL 2019