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)
Domain Adaptation for Contrastive Audio-Language Models
Interspeech 2024
Domain Adaptation with Cauchy-Schwarz Divergence
UAI 2024
Domain adapted machine translation: What does catastrophic forgetting forget and why?
EMNLP 2024
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark
COLING 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
CVPR 2024
Domain Aligned CLIP for Few-Shot Classification
WACV 2024
Domain constraints improve risk prediction when outcome data is missing
ICLR 2024
Domain-Controlled Prompt Learning
AAAI 2024
Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies
AAAI 2024
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
COLING 2024
Domain Generalization With Correlated Style Uncertainty
WACV 2024
Domain Randomization via Entropy Maximization
ICLR 2024
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
ICML 2024
Do Multilingual Large Language Models Mitigate Stereotype Bias?
ACL 2024
Do Neural Language Models Inferentially Compose Concepts the Way Humans Can?
COLING 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets
EACL 2024
Do no harm: A counterfactual approach to safe reinforcement learning
L4DC 2024
Do-Not-Answer: Evaluating Safeguards in LLMs
EACL 2024
Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models
EMNLP 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead!
AISTATS 2024
Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
ACL 2024
Don’t forget private retrieval: distributed private similarity search for large language models
ACL 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
ACL 2024
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024