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)

Clustering-Aware Negative Sampling for Unsupervised Sentence Representation ACL 2023 Clustering High-dimensional Data with Ordered Weighted ℓ_1 Regularization AISTATS 2023 ClusterLLM: Large Language Models as a Guide for Text Clustering EMNLP 2023 ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery EMNLP 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023 CMNet: Contrastive Magnification Network for Micro-Expression Recognition AAAI 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 CNN2Graph: Building Graphs for Image Classification WACV 2023 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023 Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning EMNLP 2023 CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving ICLR 2023 Coaching a Teachable Student CVPR 2023 CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation ACL 2023 CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation EMNLP 2023 Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization AAAI 2023 Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D ICML 2023 Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023 Coarse-to-Fine Dual Encoders are Better Frame Identification Learners EMNLP 2023 Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023 CoAug: Combining Augmentation of Labels and Labelling Rules ACL 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning Interspeech 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023