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)

Entity Contrastive Learning in a Large-Scale Virtual Assistant System ACL 2023 Entity Disambiguation on a Tight Labeling Budget EMNLP 2023 Entropy-driven Unsupervised Keypoint Representation Learning in Videos ICML 2023 Entropy Regularization for Population Estimation AAAI 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation ICCV 2023 Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation ACL 2023 EPIC: Multi-Perspective Annotation of a Corpus of Irony ACL 2023 Episodic Memory For Domain-Adaptable, Robust Speech Emotion Recognition Interspeech 2023 Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023 Equilibrium Point Learning ACML 2023 Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023 Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation NeurIPS 2023 Equivariant Neural Operator Learning with Graphon Convolution NeurIPS 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023 ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation AAAI 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 Error Detection for Text-to-SQL Semantic Parsing EMNLP 2023 Error Estimation for Random Fourier Features AISTATS 2023 Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning ICLR 2023 Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese SemEval 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023 ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning AAAI 2023