SOTAVerified

Novel Concepts

Measures the ability of models to uncover an underlying concept that unites several ostensibly disparate entities, which hopefully would not co-occur frequently. This provides a limited test of a model's ability to creatively construct the necessary abstraction to make sense of a situation that it cannot have memorized in training.

Source: BIG-bench

Papers

Showing 3140 of 158 papers

TitleStatusHype
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingCode1
DreamCreature: Crafting Photorealistic Virtual Creatures from ImaginationCode1
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and IndexingCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object InteractionsCode1
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot LearningCode1
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and ReasoningCode1
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review0
Coherent Temporal Synthesis for Incremental Action Segmentation0
Benchmarking the human brain against computational architectures0
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