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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Papers (including subtopics)

Complementary Cues From Audio Help Combat Noise in Weakly-Supervised Object Detection WACV 2023 Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning ICCV 2023 Complementary Explanations for Effective In-Context Learning ACL 2023 Complete Instances Mining for Weakly Supervised Instance Segmentation IJCAI 2023 Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning CVPR 2023 Complexity-Guided Curriculum Learning for Text Graphs EMNLP 2023 Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NeurIPS 2023 Composer: Creative and Controllable Image Synthesis with Composable Conditions ICML 2023 Composite Learning for Robust and Effective Dense Predictions WACV 2023 Compositional Exemplars for In-context Learning ICML 2023 Compositional Generalisation with Structured Reordering and Fertility Layers EACL 2023 Compositional Generalization for Data-to-Text Generation EMNLP 2023 Compositional Generalization in Spoken Language Understanding Interspeech 2023 Compositionality with Variation Reliably Emerges in Neural Networks ICLR 2023 Compositional Learning-based Planning for Vision POMDPs L4DC 2023 Compositional Mathematical Encoding for Math Word Problems ACL 2023 Compositional Prototypical Networks for Few-Shot Classification AAAI 2023 Compositional Zero-Shot Artistic Font Synthesis IJCAI 2023 Composition-contrastive Learning for Sentence Embeddings ACL 2023 Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023 Compressed Video Prompt Tuning NeurIPS 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable AAAI 2023 Computational Asymmetries in Robust Classification ICML 2023 Computationally Budgeted Continual Learning: What Does Matter? CVPR 2023