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

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Papers (including subtopics)

MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering EMNLP 2020 MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension AAAI 2020 MMTM: Multimodal Transfer Module for CNN Fusion CVPR 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020 Modality-Balanced Models for Visual Dialogue AAAI 2020 Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion AAAI 2020 Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition AACL 2020 Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 Modeling Biological Immunity to Adversarial Examples CVPR 2020 Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection AAAI 2020 Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection EMNLP 2020 Modeling Protagonist Emotions for Emotion-Aware Storytelling EMNLP 2020 Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020 Modeling Word Formation in English–German Neural Machine Translation ACL 2020 Model Inversion Networks for Model-Based Optimization NeurIPS 2020 Modelling Form-Meaning Systematicity with Linguistic and Visual Features AAAI 2020 Modelling Lexical Ambiguity with Density Matrices CoNLL 2020 Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition EMNLP 2020 Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020