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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)

Azimuth: Systematic Error Analysis for Text Classification EMNLP 2022 Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022 Backdoor Attacks on Self-Supervised Learning CVPR 2022 Backdoor Attacks on the DNN Interpretation System AAAI 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NeurIPS 2022 Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022 Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling EMNLP 2022 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation CVPR 2022 BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models ICLR 2022 BagFlip: A Certified Defense Against Data Poisoning NeurIPS 2022 Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory CVPR 2022 Baked-in State Probing EMNLP 2022 Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022 Balanced Multimodal Learning via On-the-Fly Gradient Modulation CVPR 2022 Balancing adaptability and non-exploitability in repeated games UAI 2022 Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 BAM: Bayes with Adaptive Memory ICLR 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022 Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022 BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset AACL 2022 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022 Batch Normalization Tells You Which Filter Is Important WACV 2022