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)

Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization AAAI 2023 Generative Adversarial Symmetry Discovery ICML 2023 Generative Calibration for In-context Learning EMNLP 2023 Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning AAAI 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NeurIPS 2023 Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples ACML 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 GenerTTS: Pronunciation Disentanglement for Timbre and Style Generalization in Cross-Lingual Text-to-Speech Interspeech 2023 Genetic Prompt Search via Exploiting Language Model Probabilities IJCAI 2023 GenEval: An object-focused framework for evaluating text-to-image alignment NeurIPS 2023 Genie: Show Me the Data for Quantization CVPR 2023 GenKIE: Robust Generative Multimodal Document Key Information Extraction EMNLP 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring NeurIPS 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning NeurIPS 2023 GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning ACL 2023 GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding EMNLP 2023 Geometric Algebra Transformer NeurIPS 2023 Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations AAAI 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023 Geometry-Aware Network for Domain Adaptive Semantic Segmentation AAAI 2023