00:56

People of ACM: Ramón Cáceres (9/17/2024)

01:31

KDD2024 03

01:34

KDD 2024 - Conference Highlight Video

01:05

KDD 2024 - Conference Highlight Video

03:24

September 2024 CACM: The Myth of the Coder

01:05

KDD 2024 - Tutorial and Workshop day Highlight

02:18

KDD2024 - Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model

00:55

People of ACM: Elizabeth Hawthorne (8/22/2024)

52:53

ACMW Celebrating Technology Leaders Episode 15: Generative AI in Enterprise Software

01:58

KDD2024 - CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect

02:01

KDD2024 - Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Re...

01:47

KDD2024 - AGS-GNN: Attribute Guided sampling for Graph Neural Network

02:03

KDD2024 - SeBot: Structural Entropy Guided Multi View Contrastive Learning for Social Bot Detection

01:11

People of ACM: Nivedita Arora (8/6/2024)

02:04

KDD2024 - Future Impact Decomposition in Request-level Recommendations

02:00

KDD2024 - A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs

01:53

KDD2024 - Self-Distilled Disentangled Learning for Counterfactual Prediction

04:03

August 2024 CACM: 2024 Latin America Regional Special Section

04:02

Aug 2024 CACM: An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities

02:00

KDD2024 - Expander Hierarchies for Normalized Cuts on Graphs

01:00:22

Viraj Kumar on "Simple Code-Writing Problems that GenAI cannot Solve (At Present),

01:48

KDD2024 -FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs

01:57

KDD2024 - A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News...

02:12

KDD2024 - Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Gener...

02:01

KDD2024 - RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Reasoning

02:01

KDD2024 - Unraveling Block Maxima Forecasting Models with Counterfactual Explanation

02:37

KDD2024 - Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

01:37

KDD2024 - How the most tasty and efficient ALDENTE algorithms are developed, trough premium class...

01:50

KDD2024 - Joint Auction in the Online Advertising Market

01:52

KDD2024 - A new way to label image similarity: a gigantic data space, but worthy trying!

00:55

People of ACM: Fedor Fomin (7/23/2024)

01:55

KDD2024 - Natural Language Explainable Recommendation with Robustness Enhancement

01:38

KDD2024 - Online Drift Dectection for Maximum Concept Discrepency

02:02

KDD2024 - Continual Collaborative Distillation for Recommender System

02:28

KDD2024 - Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model

02:10

KDD2024 - Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent

02:45

KDD2024 - From Variability to Stability: Advancing RecSys Benchmarking Practices

02:00

KDD2024 - Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

02:14

KDD2024 - Representation Learning of Temporal Graphs with Structural Roles

01:58

KDD2024 - Make Your Home Safe:Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes

02:00

KDD2024 - Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks

02:01

KDD2024 - Business Policy Experiments using Fractional Designs: Consumer Retention on DoorDash

01:59

KDD2024 - Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling

01:59

KDD2024 - AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing

02:00

KDD2024 - TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease

01:49

KDD2024 - Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization

01:49

KDD2024 - Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization

01:56

KDD2024 - EmoLLMs: Emotional LLMs and Annotation Tools

02:17

KDD2024 - A brief introduction of FedBiOT

02:01

KDD2024 - Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis

02:07

KDD2024 - Using Self-supervised Learning Can Improve Model Fairness

01:26

KDD2024 - Relevance Meets Diversity: A User-Centric Framework for Exploration Recommendation

01:56

KDD2024 - EmoLLMs: A Series of Emotional LLMs and Annotation Tools for Comprehensive Analysis

02:17

KDD2024 - A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks

02:01

KDD2024 - Scaling Training Data with Lossy Image Compression

02:25

KDD2024 - Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models

02:00

KDD2024 - NudgeRank: Digital Algorithmic Nudging for Personalized Health

02:00

KDD 2024 - Paths2Pair Meta path Based Link Prediction

01:29

KDD2024 - Explainable and Interpretable Forecasts on NonSmooth Multivariate Time Series for Gameplay

02:00

KDD2024 - Introduction to AutoXPCR: Automated Multi-Objective Model Selection for Time Series