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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)

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving CVPR 2024 Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Adversarial Imitation Learning via Boosting ICLR 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarial Learning for Multi-Lingual Entity Linking ACL 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 Adversarial Math Word Problem Generation EMNLP 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024 A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024 AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024 AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Fixed-Point Approach to Unified Prompt-Based Counting AAAI 2024 A Foundation Model for Zero-shot Logical Query Reasoning NeurIPS 2024 AfriInstruct: Instruction Tuning of African Languages for Diverse Tasks EMNLP 2024 A General Implicit Framework for Fast NeRF Composition and Rendering AAAI 2024 A General Protocol to Probe Large Vision Models for 3D Physical Understanding NeurIPS 2024 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 A Generative Model of Symmetry Transformations NeurIPS 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024