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)

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats IJCAI 2023 Fine-Context Shadow Detection Using Shadow Removal WACV 2023 Fine-Grained Activities of People Worldwide WACV 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 Fine-Grained Retrieval Prompt Tuning AAAI 2023 Fine-grained Text Style Transfer with Diffusion-Based Language Models ACL 2023 Fine-grained Unsupervised Domain Adaptation for Gait Recognition ICCV 2023 Fine-Grained Visual Prompting NeurIPS 2023 FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP 2023 Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023 Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023 Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection Interspeech 2023 Finetuning Offline World Models in the Real World CoRL 2023 Fine-tuning Sentence-RoBERTa to Construct Word Embeddings for Low-resource Languages from Bilingual Dictionaries ACL 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression NeurIPS 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NeurIPS 2023 First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning ICCV 2023 FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering AAAI 2023 Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data AISTATS 2023 Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances UAI 2023 Fixed Input Parameterization for Efficient Prompting ACL 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation ACL 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) AAAI 2023