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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes NeurIPS 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Causal Estimation of Memorisation Profiles ACL 2024 Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024 Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis ACL 2024 CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ICLR 2024 C-CLIP: Contrastive Image-Text Encoders To Close the Descriptive-Commentative Gap WACV 2024 CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion AAAI 2024 CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024 CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation AAAI 2024 CELLO: Causal Evaluation of Large Vision-Language Models EMNLP 2024 Cell ontology guided transcriptome foundation model NeurIPS 2024 Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages ACL 2024 Center-Based Relaxed Learning Against Membership Inference Attacks UAI 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NeurIPS 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning AAAI 2024 CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing CVPR 2024 CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation AAAI 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024 Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control AAAI 2024