question stringclasses 1
value | subject stringclasses 1
value | choices listlengths 4 4 | answer class label 4
classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"Medical Entity Disambiguation using Graph Neural Networks",
"Inception-v3",
"BLIP: Bootstrapping Language-Image Pre-training",
"CSPDenseNet-Elastic"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Adaptively Spatial Feature Fusion",
"PAR Transformer",
"Vision Transformer",
"Detailed Expression Capture and Animation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ResNet-RS",
"1-Dimensional Convolutional Neural Networks",
"TopK Copy",
"Continuous Kernel Convolution"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Lbl2TransformerVec",
"Deformable Kernel",
"Inception-B",
"Support-set Based Cross-Supervision"
] | 0A |
Predict which model least fits with the others | model_modality | [
"FixRes",
"Class-MLP",
"PoolFormer",
"Spherical Graph Convolutional Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"CuBERT",
"R-CNN",
"Vision-aided GAN",
"MLP-Mixer Layer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GPT-Neo",
"ConvNeXt",
"GloVe Embeddings",
"Routing Transformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"SNet",
"Directed Acyclic Graph Neural Network",
"SKNet",
"RegNetY"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Knowledge Enhanced Masked Language Model",
"RegNetY",
"Global Convolutional Network",
"Bottom-up Path Augmentation"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GradientDICE",
"MobileViT",
"Gated Transformer-XL",
"Self-critical Sequence Training"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Region Proposal Network",
"Max Pooling",
"RESCAL",
"ShuffleNet V2 Block"
] | 2C |
Predict which model least fits with the others | model_modality | [
"High-Order Proximity preserved Embedding",
"SegFormer",
"Graphic Mutual Information",
"TimeSformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"FRILL",
"MatrixNet",
"Bilateral Grid",
"PrivacyNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Mixed Depthwise Convolution",
"ERNIE",
"Reduction-B",
"Spatial Feature Transform"
] | 1B |
Predict which model least fits with the others | model_modality | [
"PyramidNet",
"Attention Model",
"Split Attention",
"WideResNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"imGHUM",
"Subformer",
"Optimal Transport Modeling",
"Polynomial Convolution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Knowledge Graph Refiner",
"Object Dropout",
"E-MBConv",
"ShuffleNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ooJpiued",
"MUSIQ",
"Low-level backbone",
"MoGA-C"
] | 0A |
Predict which model least fits with the others | model_modality | [
"XCiT Layer",
"FuseFormer Block",
"DeepLab",
"Bort"
] | 3D |
Predict which model least fits with the others | model_modality | [
"RIFE",
"GPT-4",
"Fragmentation",
"Scattering Transform"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Squeeze aggregated excitation network",
"Epsilon Greedy Exploration",
"Sparse Autoencoder",
"MobileDet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Dutch Eligibility Trace",
"Twin Delayed Deep Deterministic",
"Dual Path Network",
"NoisyNet-A3C"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Convolutional LSTM based Residual Network",
"RFB Net",
"Poincaré Embeddings",
"Hybrid Task Cascade"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Primer",
"GPT-4",
"MoGA-C",
"NormFormer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Spatial Pyramid Pooling",
"LSGAN",
"Random Resized Crop",
"Message Passing Neural Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"MLP-Mixer Layer",
"Parallel Feature Pyramid Network",
"Cross-resolution features",
"StoGCN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Pix2Pix",
"Multi-partition Embedding Interaction",
"Local Relation Network",
"Conditional Convolutions for Instance Segmentation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Discriminative Adversarial Search",
"PREDATOR",
"Approximating Spatiotemporal Representations Using a 2DCNN",
"StyleMapGAN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method",
"Skip-gram Word2Vec",
"Hourglass Module",
"Efficient Spatial Pyramid"
] | 1B |
Predict which model least fits with the others | model_modality | [
"MetaFormer",
"Inception-C",
"DetNet",
"GCNII"
] | 3D |
Predict which model least fits with the others | model_modality | [
"3DSSD",
"simple Copy-Paste",
"Go-Explore",
"LeNet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Deep Q-Network",
"Ape-X DPG",
"Deep Orthogonal Fusion of Local and Global Features",
"Kalman Optimization for Value Approximation"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Compressive Transformer",
"OASIS",
"LSGAN",
"Conditional / Rectified flow matching"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Support-set Based Cross-Supervision",
"Temporal ROIAlign",
"FFB6D",
"Canonical Tensor Decomposition with N3 Regularizer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"U2-Net",
"Bottleneck Transformer",
"Spatial Pyramid Pooling",
"Large-scale Information Network Embedding"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Simple Visual Language Model",
"Auditory Cortex ResNet",
"Low-resolution input",
"Efficient Spatial Pyramid"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Beneš Block with Residual Switch Units",
"CurricularFace",
"HyperDenseNet",
"Anycost GAN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BigGAN",
"TernaryBERT",
"NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video",
"Circular Smooth Label"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Neural network for graphs",
"PointASNL",
"Vision-and-Langauge Transformer",
"Anycost GAN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"DenseNet-Elastic",
"Depthwise Separable Convolution",
"ProphetNet",
"COCO-FUNIT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"MobileBERT",
"MPNet",
"ResNeSt",
"Lbl2TransformerVec"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Libra R-CNN",
"PolarNet",
"Matching The Statements",
"BiSeNet V2"
] | 2C |
Predict which model least fits with the others | model_modality | [
"M2Det",
"PULSE",
"Single-Shot Multi-Object Tracker",
"Routing Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Routing Transformer",
"Visual-Spatial-Graph Network",
"K3M",
"Diffusion"
] | 1B |
Predict which model least fits with the others | model_modality | [
"MoGA-A",
"MoGA-B",
"GBST",
"Vokenization"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ScanSSD",
"2D Discrete Wavelet Transform",
"RFB Net",
"Spherical Graph Convolutional Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Deep Extreme Cut",
"Skip-gram Word2Vec",
"Adaptively Sparse Transformer",
"Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Sample Redistribution",
"Differentiable Digital Signal Processing",
"IoU-Net",
"PocketNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Counterfactuals Explanations",
"Prioritized Experience Replay",
"Distributed Distributional DDPG",
"Poisson Flow Generative Models"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Self-Attention GAN",
"Flow Alignment Module",
"WaveGrad UBlock",
"Attentional Liquid Warping Block"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Mixture model network",
"ComplEx with N3 Regularizer",
"Principal Neighbourhood Aggregation",
"Disp R-CNN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"SqueezeNet",
"NAS-FPN",
"Differential Diffusion",
"Graph InfoClust"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Dual Graph Convolutional Networks",
"XLM-R",
"Parallel Layers",
"Extended Transformer Construction"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Focal Transformers",
"U-Net Generative Adversarial Network",
"Jukebox",
"XGPT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Focus",
"Contextual Residual Aggregation",
"Attention Mesh",
"Deep Boltzmann Machine"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Florence",
"LocalViT",
"Flan-T5",
"Inception-ResNet-v2-A"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Laplacian EigenMap",
"Feature Fusion Module v1",
"Message Passing Neural Network",
"Multiplex Molecular Graph Neural Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Table Pre-training via Execution",
"TSDAE",
"Cascade Corner Pooling",
"Synthesizer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"HS-ResNet",
"Feature Intertwiner",
"GeniePath",
"Inception-v3 Module"
] | 2C |
Predict which model least fits with the others | model_modality | [
"MnasNet",
"Modulated Residual Network",
"VoiceFilter-Lite",
"Context Enhancement Module"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CodeBERT",
"TaxoExpan",
"RoBERTa",
"Global Convolutional Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"DeepMask",
"Sample Redistribution",
"ResNeXt",
"ooJpiued"
] | 3D |
Predict which model least fits with the others | model_modality | [
"SC-GPT",
"Synthesizer",
"Fastformer",
"Multiscale Dilated Convolution Block"
] | 3D |
Predict which model least fits with the others | model_modality | [
"I-BERT",
"Laplacian Pyramid",
"Lbl2TransformerVec",
"PermuteFormer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"SentencePiece",
"SongNet",
"Primal Wasserstein Imitation Learning",
"NormFormer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Balanced Feature Pyramid",
"CornerNet-Squeeze Hourglass",
"Multiplex Molecular Graph Neural Network",
"MoCo v3"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Electric",
"Temporal Jittering",
"Anycost GAN",
"DiCENet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Composed Video Retrieval",
"SimpleNet",
"PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification",
"Packed Levitated Markers"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Macaw",
"lda2vec",
"UNiversal Image-TExt Representation Learning",
"SRGAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"BTmPG",
"Adaptive Span Transformer",
"RoBERTa",
"Darknet-53"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Poly-CAM",
"Pyramid Vision Transformer",
"Lower Bound on Transmission using Non-Linear Bounding Function in Single Image Dehazing",
"Q-Learning"
] | 3D |
Predict which model least fits with the others | model_modality | [
"ExtremeNet",
"ClassSR",
"Modularity preserving NMF",
"Random Scaling"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Pix2Pix",
"1x1 Convolution",
"Generative Adversarial Transformer",
"Patch Merger Module"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Message Passing Neural Network",
"Circular Smooth Label",
"Local Mixup",
"Orientation Regularized Network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Byte Pair Encoding",
"Random Scaling",
"DeeBERT",
"PLATO-2"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RFB Net",
"Double Q-learning",
"Poisson Flow Generative Models",
"PointASNL"
] | 1B |
Predict which model least fits with the others | model_modality | [
"uNetXST",
"RegionViT",
"CrossViT",
"TD-Gammon"
] | 3D |
Predict which model least fits with the others | model_modality | [
"SC-GPT",
"Fast-YOLOv3",
"DALL·E 2",
"VGG-16"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Deformable DETR",
"Inception-v3",
"Sample Redistribution",
"VERtex Similarity Embeddings"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Skim and Intensive Reading Model",
"RegNetX",
"Thinned U-shape Module",
"PCA Whitening"
] | 0A |
Predict which model least fits with the others | model_modality | [
"LMOT: Efficient Light-Weight Detection and Tracking in Crowds",
"Single-Shot Multi-Object Tracker",
"TinaFace",
"Charformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Spatial Broadcast Decoder",
"KNN and IOU based verification",
"Ghost Module",
"MelGAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Pyramid Pooling Module",
"Invertible Rescaling Network",
"Harm-Net",
"PanGu-$α$"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Clipped Double Q-learning",
"Minibatch Discrimination",
"AlphaZero",
"Firefly algorithm"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Diffusion-Convolutional Neural Networks",
"Batchboost",
"Graph Transformer",
"Neural network for graphs"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RTMDet: An Empirical Study of Designing Real-Time Object Detectors",
"SqueezeBERT",
"Hierarchical Entity Graph Convolutional Network",
"Universal Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"TuckER with Relation Prediction",
"Heterogeneous Molecular Graph Neural Network",
"BasicVSR",
"RESCAL"
] | 2C |
Predict which model least fits with the others | model_modality | [
"LMOT: Efficient Light-Weight Detection and Tracking in Crowds",
"Blue River Controls",
"3D Convolution",
"Confidence Intervals for Diffusion Models"
] | 1B |
Predict which model least fits with the others | model_modality | [
"LeVIT",
"PAUSE",
"Dimension-wise Fusion",
"Hierarchical Variational Autoencoder"
] | 1B |
Predict which model least fits with the others | model_modality | [
"BERT",
"Wasserstein GAN (Gradient Penalty)",
"BoundaryNet",
"Faster R-CNN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Laplacian EigenMap",
"Feature-Centric Voting",
"Stand-Alone Self Attention",
"RandWire"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ClipBERT",
"Criss-Cross Network",
"WaveNet",
"ALIGN"
] | 2C |
Predict which model least fits with the others | model_modality | [
"MLP-Mixer",
"MacBERT",
"Joint Learning Architecture",
"Colorization Transformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Grid Sensitive",
"Inception-ResNet-v2",
"Segmentation Transformer",
"Performer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Principal Neighbourhood Aggregation",
"Graph InfoClust",
"Large-scale Information Network Embedding",
"BP-Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"TransE",
"Pansharpening Network",
"ComplEx with N3 Regularizer",
"Automated Graph Learning"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Height-driven Attention Network",
"KNN and IOU based verification",
"CubeRE",
"Surface Nomral-based Spatial Propagation"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Nyströmformer",
"Longformer",
"Bort",
"Inverse Q-Learning"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Harmonic Block",
"Data-efficient Image Transformer",
"Fast Focal Detection Network",
"Quantum Process Tomography"
] | 3D |
Predict which model least fits with the others | model_modality | [
"MagFace",
"Viewmaker Network",
"REINFORCE",
"Adaptive Feature Pooling"
] | 2C |
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