Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Preference Transformer: Modeling Human Preferences using Transformers for RL
ICLR 2023
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
ACL 2023
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
ICML 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
NeurIPS 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
ACL 2023
Preserving Modality Structure Improves Multi-Modal Learning
ICCV 2023
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
ICLR 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
EMNLP 2023
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
AAAI 2023
Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features
ACL 2023
PreSTU: Pre-Training for Scene-Text Understanding
ICCV 2023
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
ACL 2023
Pretrained Language Models as Visual Planners for Human Assistance
ICCV 2023
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
ACL 2023
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition
EMNLP 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
NeurIPS 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials
RSS 2023
Pre-training for Speech Translation: CTC Meets Optimal Transport
ICML 2023
Pretraining Language Models with Human Preferences
ICML 2023
Pre-training Multi-party Dialogue Models with Latent Discourse Inference
ACL 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
NeurIPS 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
NeurIPS 2023
Pre-Training to Learn in Context
ACL 2023
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
ICML 2023