Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 M2QA: Multi-domain Multilingual Question Answering EMNLP 2024 M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets COLING 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding WACV 2024 M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval COLING 2024 M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering ICLR 2024 M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought ACL 2024 M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection EMNLP 2024 M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data NeurIPS 2024 M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models ACL 2024 MA at AraFinNLP2024: BERT-based Ensemble for Cross-dialectal Arabic Intent Detection ACL 2024 Machine-Generated Text Localization ACL 2024 Machine-in-the-Loop with Documentary and Descriptive Linguists EACL 2024 Machine Learning-Powered Combinatorial Clock Auction AAAI 2024 Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models? ACL 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning ICML 2024 MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis COLING 2024 MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems NeurIPS 2024 MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024 MaCSC: Towards Multimodal-augmented Pre-trained Language Models via Conceptual Prototypes and Self-balancing Calibration NAACL 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds WACV 2024