conftrace_

Learning Types

56,253 papers (3 classified directly here)

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

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)

Papers per year

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1,314

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Papers (including subtopics)

Contrastive Learning for Label Efficient Semantic Segmentation ICCV 2021 Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ACL 2021 Contrastive Learning for Neural Topic Model NeurIPS 2021 Contrastive Learning Inverts the Data Generating Process ICML 2021 Contrastive learning, multi-view redundancy, and linear models ALT 2021 Contrastive Learning of Global and Local Video Representations NeurIPS 2021 Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency ICCV 2021 Contrastive learning of strong-mixing continuous-time stochastic processes AISTATS 2021 Contrastive Learning with Hard Negative Samples ICLR 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021 Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021 Contrastive Multi-document Question Generation EACL 2021 Contrastive Multimodal Fusion With TupleInfoNCE ICCV 2021 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021 Contrastive Neural Processes for Self-Supervised Learning ACML 2021 Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021 Contrastive Reinforcement Learning of Symbolic Reasoning Domains NeurIPS 2021 Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation EMNLP 2021 Contrastive Self-supervised Learning for Graph Classification AAAI 2021 Contrastive Syn-to-Real Generalization ICLR 2021 Contrastive Transformation for Self-supervised Correspondence Learning AAAI 2021 Contrastive Triple Extraction with Generative Transformer AAAI 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 Control Image Captioning Spatially and Temporally ACL 2021