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)

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning ACL 2024 CriticEval: Evaluating Large-scale Language Model as Critic NeurIPS 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024 CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning ECCV 2024 CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning CVPR 2024 CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues AAAI 2024 Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024 Cross-Device Collaborative Test-Time Adaptation NeurIPS 2024 Cross-Dialectal Transfer and Zero-Shot Learning for Armenian Varieties: A Comparative Analysis of RNNs, Transformers and LLMs EMNLP 2024 Cross-Domain Audio Deepfake Detection: Dataset and Analysis EMNLP 2024 Cross-Domain Contrastive Learning for Time Series Clustering AAAI 2024 Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024 Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024 Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024 Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective EMNLP 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Cross-Lingual Knowledge Editing in Large Language Models ACL 2024 Cross-Lingual Metaphor Detection for Low-Resource Languages NAACL 2024 Cross-Lingual Multi-Hop Knowledge Editing EMNLP 2024 Cross-Lingual NLU: Mitigating Language-Specific Impact in Embeddings Leveraging Adversarial Learning COLING 2024 Cross-Lingual Ontology Matching using Structural and Semantic Similarity COLING 2024 Cross-Lingual Summarization with Pseudo-Label Regularization NAACL 2024 Crosslinguistic Comparison of Acoustic Variation in the Vowel Sequences /ia/ and /io/ in Four Romance Languages Interspeech 2024