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

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Papers (including subtopics)

Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023 Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction CVPR 2023 Overlap Aware Continuous Speech Separation without Permutation Invariant Training Interspeech 2023 OVTrack: Open-Vocabulary Multiple Object Tracking CVPR 2023 PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts ACL 2023 PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection NeurIPS 2023 PAED: Zero-Shot Persona Attribute Extraction in Dialogues ACL 2023 PaintSeg: Painting Pixels for Training-free Segmentation NeurIPS 2023 PaLM: Scaling Language Modeling with Pathways JMLR 2023 Panoramic Video Salient Object Detection with Ambisonic Audio Guidance AAAI 2023 ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation ACL 2023 PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023 Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec ACL 2023 ParaLS: Lexical Substitution via Pretrained Paraphraser ACL 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NeurIPS 2023 Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment EMNLP 2023 Parameter-Efficient Fine-Tuning Design Spaces ICLR 2023 Parameter-Efficient Finetuning for Robust Continual Multilingual Learning ACL 2023 Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023 Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings EMNLP 2023 Parameter-Efficient Model Adaptation for Vision Transformers AAAI 2023 Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023 Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023 Parametric Implicit Face Representation for Audio-Driven Facial Reenactment CVPR 2023