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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)

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ACL 2022 Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation NeurIPS 2022 Blackbox Attacks via Surrogate Ensemble Search NeurIPS 2022 Black-Box Tuning for Language-Model-as-a-Service ICML 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022 Blind Language Separation: Disentangling Multilingual Cocktail Party Voices by Language Interspeech 2022 BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations NAACL 2022 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation ICML 2022 Block Diagram-to-Text: Understanding Block Diagram Images by Generating Natural Language Descriptors AACL 2022 Blocking Influence at Collective Level with Hard Constraints (Student Abstract) AAAI 2022 Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning ICML 2022 Block-Skim: Efficient Question Answering for Transformer AAAI 2022 Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning AAAI 2022 Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks EMNLP 2022 Bluebird: High-performance SDN for Bare-metal Cloud Services NSDI 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 BM-NAS: Bilevel Multimodal Neural Architecture Search AAAI 2022 BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling NeurIPS 2022 Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck IJCAI 2022 Boosted Curriculum Reinforcement Learning ICLR 2022 Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules EMNLP 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 Boosting Randomized Smoothing with Variance Reduced Classifiers ICLR 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NeurIPS 2022 Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022