Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS 2021 Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color CoNLL 2021 Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap EMNLP 2021 Can Sequence-to-Sequence Models Crack Substitution Ciphers? ACL 2021 Can Transformer Language Models Predict Psychometric Properties? ACL 2021 Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN EMNLP 2021 Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability ACL 2021 Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP 2021 Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks NeurIPS 2021 CAPE: Context-Aware Private Embeddings for Private Language Learning EMNLP 2021 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 Caption Enriched Samples for Improving Hateful Memes Detection EMNLP 2021 CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds ICCV 2021 Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser EMNLP 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021 Cardinality-Regularized Hawkes-Granger Model NeurIPS 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021 CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021 CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021 Cascaded Prediction Network via Segment Tree for Temporal Video Grounding CVPR 2021 Cascaded Span Extraction and Response Generation for Document-Grounded Dialog ACL 2021 Case-based Reasoning for Natural Language Queries over Knowledge Bases EMNLP 2021 Case Study: Deontological Ethics in NLP NAACL 2021 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems NAACL 2021 Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication NeurIPS 2021