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)

Towards Variable and Coordinated Holistic Co-Speech Motion Generation CVPR 2024 Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 Toward the Modular Training of Controlled Paraphrase Adapters EACL 2024 Toward Zero-Shot Instruction Following EACL 2024 To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models EMNLP 2024 ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations EMNLP 2024 ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information EMNLP 2024 TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning NeurIPS 2024 Traceable Federated Continual Learning CVPR 2024 TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024 Traffic Scene Parsing through the TSP6K Dataset CVPR 2024 Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization EACL 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024 Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora EMNLP 2024 Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data NeurIPS 2024 Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection WACV 2024 Training Compute-Optimal Protein Language Models NeurIPS 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Training Diffusion Models with Reinforcement Learning ICLR 2024 Training Ensembles With Inliers and Outliers for Semi-Supervised Active Learning WACV 2024 Training for Stable Explanation for Free NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy NeurIPS 2024