conftrace_
← Artificial Intelligence
Artificial Intelligence ›

Core AI

59,089 papers (13 classified directly here)

Subtopics

Multimodal Learning (13,185) Large Language Models (7,668) Interpretability (7,452) Foundation Models (4,860) Agent Systems (4,088) Multi-Agent Systems (3,480) Causal Inference (3,333) Planning (3,142) AI Safety (3,026) Reasoning (2,964) Human-AI Interaction (2,346) Natural Language Processing (2,158) Responsible AI (2,003) Model Compression (1,952) Game AI (1,781) Computer Vision (1,680) Multi-Modal Learning (1,530) Autonomous Vehicles (1,362) Language (1,325) Adversarial Learning (1,292) Fairness (1,193) Dialogue Systems (1,015) Reinforcement Learning (984) Game Theory (939) Robotics (931) Efficient Computing (716) Knowledge Graph (714) Procedural Generation (665) Trajectory Prediction (634) Natural Language Generation (536) Privacy (520) Memory (460) Information Retrieval (425) Safety (414) Knowledge Representation (398) Evaluation (393) Knowledge (382) Information Extraction (371) Decision Making (294) Knowledge Graphs (261) Knowledge Editing (196) Speech Processing (193) Vision-Language Models (159) Question Answering (158) Retrieval-Augmented Generation (147) Knowledge Distillation (121) Attention (118) Brain-Computer Interface (104) Code Generation (99) Security (95) Natural Language Understanding (67) Uncertainty Quantification (56) Learning Paradigms (52) Robustness (49) Representation Learning (48) Education (44) Explainability (41) Risk Management (40) Speech Recognition (29) Automated Reasoning (28) Natural Language Inference (26) Multi-Lingual Learning (26) Machine Translation (22) Visual Question Answering (21) Anomaly Detection (16) Communication (13) Representation (11) Neural Networks (11) Sentiment Analysis (9) Motion Analysis (7)

Papers per year

1
11
78
238
3879
13503
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature AISTATS 2019
Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019
Safe Convex Learning under Uncertain Constraints AISTATS 2019
Learning Controllable Fair Representations AISTATS 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
The Termination Critic AISTATS 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019
Interpretable Cascade Classifiers with Abstention AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation AISTATS 2019
Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019
Deep Switch Networks for Generating Discrete Data and Language AISTATS 2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects AISTATS 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019
Domain-Size Aware Markov Logic Networks AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019
Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019
Dynamic Pricing with Finitely Many Unknown Valuations ALT 2019