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

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Showing 26–50 of 158 papers

TitleStatusHype
Language-Informed Visual Concept LearningCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Happy: A Debiased Learning Framework for Continual Generalized Category DiscoveryCode1
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class DiscoveryCode1
Link-Context Learning for Multimodal LLMsCode1
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
IFSeg: Image-free Semantic Segmentation via Vision-Language ModelCode1
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot LearningCode1
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 review—0
Coherent Temporal Synthesis for Incremental Action Segmentation—0
Benchmarking the human brain against computational architectures—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
A Closer Look at Rehearsal-Free Continual Learning—0
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers—0
Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Can Machines Design? An Artificial General Intelligence Approach—0
DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter—0
Automating string processing in spreadsheets using input-output examples—0
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi—0
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning—0
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently—0
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