Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

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

Papers (including subtopics)

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection CVPR 2023 Metric Multi-View Graph Clustering AAAI 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection AAAI 2023 MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data AAAI 2023 MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023 MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation CVPR 2023 MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation CVPR 2023 MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation CVPR 2023 MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL AAAI 2023 MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning ACL 2023 MIMEx: Intrinsic Rewards from Masked Input Modeling NeurIPS 2023 MIMT: Masked Image Modeling Transformer for Video Compression ICLR 2023 Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation EMNLP 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection AAAI 2023 Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 Minimum Description Length Control ICLR 2023 Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023 Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control EMNLP 2023 MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition ACL 2023 Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection EMNLP 2023 Misleading Relation Classifiers by Substituting Words in Texts ACL 2023