conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

LiT: Zero-Shot Transfer With Locked-Image Text Tuning CVPR 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Local Augmentation for Graph Neural Networks ICML 2022 Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning CVPR 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 Localization Distillation for Dense Object Detection CVPR 2022 Localized Adversarial Domain Generalization CVPR 2022 Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022 Locally Hierarchical Auto-Regressive Modeling for Image Generation NeurIPS 2022 Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis NeurIPS 2022 Logical Fallacy Detection EMNLP 2022 Logit Perturbation AAAI 2022 Long Context Question Answering via Supervised Contrastive Learning NAACL 2022 Long-Short Temporal Contrastive Learning of Video Transformers CVPR 2022 Long-Tail Recognition via Compositional Knowledge Transfer CVPR 2022 Long Text Generation with Topic-aware Discrete Latent Variable Model EMNLP 2022 Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling CVPR 2022 Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator CVPR 2022 Looking Back on Learned Experiences For Class/task Incremental Learning ICLR 2022 Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering EMNLP 2022 Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning NeurIPS 2022 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NeurIPS 2022 Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation NeurIPS 2022