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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)

Uncovering Limitations in Text-to-Image Generation: A Contrastive Approach with Structured Semantic Alignment EMNLP 2023 Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023 Uncovering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech EMNLP 2023 Uncovering the Varied Impact of Behavioral Change Messages on Population Groups MLHC 2023 Uncurated Image-Text Datasets: Shedding Light on Demographic Bias CVPR 2023 Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NeurIPS 2023 Understanding and Adopting Rational Behavior by Bellman Score Estimation ICLR 2023 Understanding and Bridging the Modality Gap for Speech Translation ACL 2023 Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023 Understanding and Enhancing Robustness of Concept-Based Models AAAI 2023 Understanding and Improving Visual Prompting: A Label-Mapping Perspective CVPR 2023 Understanding and Mitigating Copying in Diffusion Models NeurIPS 2023 Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023 Understanding Client Reactions in Online Mental Health Counseling ACL 2023 Understanding Deep Generative Models With Generalized Empirical Likelihoods CVPR 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Understanding Emotion Valence is a Joint Deep Learning Task ACL 2023 Understanding Ethics in NLP Authoring and Reviewing EACL 2023 Understanding HTML with Large Language Models EMNLP 2023 Understanding Influence Functions and Datamodels via Harmonic Analysis ICLR 2023 Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases ICML 2023 Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction ACML 2023 Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data AISTATS 2023 Understanding new tasks through the lens of training data via exponential tilting ICLR 2023