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)

TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles ACL 2024 To be Continuous, or to be Discrete, Those are Bits of Questions ACL 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter EMNLP 2024 To Err Is Human, but Llamas Can Learn It Too EMNLP 2024 To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets ICLR 2024 TokenCompose: Text-to-Image Diffusion with Token-level Supervision CVPR 2024 Tokenization Is More Than Compression EMNLP 2024 Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies NAACL 2024 Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition AAAI 2024 TokSing: Singing Voice Synthesis based on Discrete Tokens Interspeech 2024 To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning NeurIPS 2024 Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024 ToMBench: Benchmarking Theory of Mind in Large Language Models ACL 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024 Tool-Augmented Reward Modeling ICLR 2024 ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models EMNLP 2024 Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024 Tools Fail: Detecting Silent Errors in Faulty Tools EMNLP 2024 Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024 Topic Detection and Tracking with Time-Aware Document Embeddings COLING 2024 Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024 Topic-Oriented Open Relation Extraction with A Priori Seed Generation EMNLP 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 TopoGCL: Topological Graph Contrastive Learning AAAI 2024