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)
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
ICML 2024
Exploring the Potential of Dense Information in Multimodal Alignment
ACL 2024
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
CVPR 2024
Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR
EMNLP 2024
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
EMNLP 2024
Exploring the Promise and Limits of Real-Time Recurrent Learning
ICLR 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning
EMNLP 2024
Exploring the Relationship Between Intrinsic Stigma in Masked Language Models and Training Data Using the Stereotype Content Model
COLING 2024
Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions
Interspeech 2024
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
NeurIPS 2024
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
EMNLP 2024
Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation
COLING 2024
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
NeurIPS 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
NAACL 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
CVPR 2024
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
ICML 2024
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
MIDL 2024
Exploring Transformer Extrapolation
AAAI 2024
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters
CoRL 2024
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors
EMNLP 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
IJCAI 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning
NeurIPS 2024