Skip to content
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

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment ACL 2023 Multilingual Lottery Tickets to Pretrain Language Models EMNLP 2023 Multilingual Pre-training with Self-supervision from Global Co-occurrence Information ACL 2023 Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching EMNLP 2023 Multi-Mask Label Mapping for Prompt-Based Learning AAAI 2023 Multi-modal Action Chain Abductive Reasoning ACL 2023 Multimodal Automated Fact-Checking: A Survey EMNLP 2023 Multi-Modal Classifiers for Open-Vocabulary Object Detection ICML 2023 Multimodal Federated Learning via Contrastive Representation Ensemble ICLR 2023 Multi-Modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion ICCV 2023 Multimodal Industrial Anomaly Detection via Hybrid Fusion CVPR 2023 Multi-Modality Deep Network for Extreme Learned Image Compression AAAI 2023 Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models CVPR 2023 Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval AAAI 2023 Multimodal Persona Based Generation of Comic Dialogs ACL 2023 Multimodal Prompting With Missing Modalities for Visual Recognition CVPR 2023 Multimodal Propaganda Processing AAAI 2023 Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023 Multi-Modal Representation Learning With Text-Driven Soft Masks CVPR 2023 Multimodal Speech Recognition for Language-Guided Embodied Agents Interspeech 2023 Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning CVPR 2023 MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks NeurIPS 2023 Multiple Evidence Combination for Fact-Checking of Health-Related Information ACL 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning CVPR 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction AAAI 2023