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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Class-Conditional Conformal Prediction with Many Classes NeurIPS 2023 Class Fairness in Online Matching AAAI 2023 Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark NeurIPS 2023 Class-Incremental Learning based on Label Generation ACL 2023 Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos CVPR 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning ICCV 2023 CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence NeurIPS 2023 clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents EMNLP 2023 CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction EMNLP 2023 Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLI SemEval 2023 CLEVA: Chinese Language Models EVAluation Platform EMNLP 2023 CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension EMNLP 2023 CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System EACL 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning ACL 2023 CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023 CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection NeurIPS 2023 CLIPascene: Scene Sketching with Different Types and Levels of Abstraction ICCV 2023 CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks ICLR 2023 CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection ICCV 2023 CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision AISTATS 2023 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023 CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NeurIPS 2023 CLIPPO: Image-and-Language Understanding From Pixels Only CVPR 2023 CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation CVPR 2023