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)
Ditto: Quantization-aware Secure Inference of Transformers upon MPC
ICML 2024
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
AAAI 2024
DiVAS: Video and Audio Synchronization with Dynamic Frame Rates
CVPR 2024
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
EACL 2024
Divergences between Language Models and Human Brains
NeurIPS 2024
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization
NAACL 2024
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
AAAI 2024
Diverse Person: Customize Your Own Dataset for Text-Based Person Search
AAAI 2024
Diverse Projection Ensembles for Distributional Reinforcement Learning
ICLR 2024
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)
AAAI 2024
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection
Interspeech 2024
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
IJCAI 2024
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
NeurIPS 2024
DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models
EMNLP 2024
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
EMNLP 2024
DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation
Interspeech 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
NeurIPS 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
NeurIPS 2024
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning
EMNLP 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
EMNLP 2024
Divide-or-Conquer? Which Part Should You Distill Your LLM?
EMNLP 2024
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
EMNLP 2024
Diving Deep into the Motion Representation of Video-Text Models
ACL 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024