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)

Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples ACL 2024 Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy EMNLP 2024 Improving Streaming Speech Recognition With Time-Shifted Contextual Attention And Dynamic Right Context Masking Interspeech 2024 Improving Subgroup Robustness via Data Selection NeurIPS 2024 Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance CVPR 2024 Improving Text Embeddings with Large Language Models ACL 2024 Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024 Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024 Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024 Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning AAAI 2024 Improving the Robustness of Large Language Models via Consistency Alignment COLING 2024 Improving the Training of Rectified Flows NeurIPS 2024 Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation AAAI 2024 Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Improving Unsupervised Neural Machine Translation via Training Data Self-Correction COLING 2024 Improving Vision-and-Language Reasoning via Spatial Relations Modeling WACV 2024 Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text Interspeech 2024 Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information NAACL 2024 Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching IJCAI 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding AAAI 2024