Activity Prediction
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Benchmarks
ActEV
Most implemented
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Molecular De Novo Design through Deep Reinforcement Learning
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases
Papers
ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases
Proteolysis-targeting chimeras (PROTACs) have emerged as a transformative therapeutic strategy that selectively degrades historically ''undruggable'' targets via the ubiquitin-proteasome system. Despite growing efforts t…
Graph Neural NetworkActivity PredictionBeyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression
Deep Imbalanced Regression (DIR) is pervasive in continuous prediction tasks across diverse modalities, such as age estimation, depth prediction, and protein mutation activity prediction, where label-scarce tail samples …
Contrastive LearningActivity PredictionAge EstimationCoarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target than binary antimicrobial classification. The ESCAPE benchmark formalize…
Activity PredictionMonroe: A Molecular Foundation Model for In-Context Probabilistic Inference
Bioassay activity prediction is often data-limited because drug-discovery datasets rely on time-consuming and expensive wet-lab experiments for data generation and evaluation. This challenge has inspired recent research …
Activity PredictionMulti-Task LearningRevisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches
Predictive process monitoring (PPM) leverages event logs to forecast the future of running process instances, for instance, predicting the next activity, the remaining time until case completion, or the time to the next …
Activity PredictionStable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
Quantum Fast-Weight Programmers (QFWPs) store temporal information in dynamically programmed variational-circuit parameters rather than in nonlinear recurrent hidden states, offering a practical route to quantum sequence…
Activity Prediction