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 1–50 of 158 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing CommunityCode3
Is CLIP the main roadblock for fine-grained open-world perception?Code2
PaLM: Scaling Language Modeling with PathwaysCode2
Attention Calibration for Disentangled Text-to-Image PersonalizationCode2
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Extract Free Dense Labels from CLIPCode1
DreamCreature: Crafting Photorealistic Virtual Creatures from ImaginationCode1
Towards Open-Ended Visual Recognition with Large Language ModelCode1
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsCode1
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
A Language Model's Guide Through Latent SpaceCode1
DER: Dynamically Expandable Representation for Class Incremental LearningCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
OV-VG: A Benchmark for Open-Vocabulary Visual GroundingCode1
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class DiscoveryCode1
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and ReasoningCode1
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object DetectionCode1
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference TimeCode1
Learning Instance and Task-Aware Dynamic Kernels for Few Shot LearningCode1
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingCode1
Happy: A Debiased Learning Framework for Continual Generalized Category DiscoveryCode1
XCon: Learning with Experts for Fine-grained Category DiscoveryCode1
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and IndexingCode1
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual LearningCode1
IFSeg: Image-free Semantic Segmentation via Vision-Language ModelCode1
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem EquilibriumCode1
Dynamic Few-Shot Visual Learning without ForgettingCode1
Link-Context Learning for Multimodal LLMsCode1
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot LearningCode1
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
Language-Informed Visual Concept LearningCode1
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure AbductionCode0
Variational Prototype Replays for Continual LearningCode0
A Robust, Efficient Predictive Safety FilterCode0
Neural Concept Formation in Knowledge GraphsCode0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Multi-level Semantic Feature Augmentation for One-shot LearningCode0
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional GeneralizationCode0
Knowledge Graph Transfer Network for Few-Shot RecognitionCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
BOWLL: A Deceptively Simple Open World Lifelong LearnerCode0
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of ImagesCode0
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training DataCode0
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