Split (2)

train · 946 rows

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	[ "Spatio-temporal stability analysis", "Commute Times Layer", "ECA-Net", "Multiscale Vision Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "Unified VLP", "TransferQA", "Mixed Depthwise Convolution", "DU-GAN" ]	1B
Predict which model least fits with the others	model_modality	[ "PAFPN", "Soft Nearest Neighbor Loss with Annealing Temperature", "Go-Explore", "Deep Extreme Cut" ]	2C
Predict which model least fits with the others	model_modality	[ "VQ-VAE", "DenseNAS-C", "PReLU-Net", "BLOOMZ" ]	3D
Predict which model least fits with the others	model_modality	[ "CodeSLAM", "YOLOP", "Experience Replay", "Wasserstein GAN (Gradient Penalty)" ]	2C
Predict which model least fits with the others	model_modality	[ "CARLA: An Open Urban Driving Simulator", "NoisyNet-DQN", "Double Deep Q-Learning", "UNiversal Image-TExt Representation Learning" ]	3D
Predict which model least fits with the others	model_modality	[ "Funnel Transformer", "Continuous Bag-of-Words Word2Vec", "High-resolution Deep Convolutional Generative Adversarial Networks", "Synthesizer" ]	2C
Predict which model least fits with the others	model_modality	[ "SENet", "GPT-2", "GCNet", "RetinaMask" ]	1B
Predict which model least fits with the others	model_modality	[ "Squeeze-and-Excitation Block", "pixel2style2pixel", "Neural Cache", "Criss-Cross Network" ]	2C
Predict which model least fits with the others	model_modality	[ "Bridge-net", "WaveGlow", "XLSR", "Visual-Linguistic BERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Non Maximum Suppression", "NesT", "MobileNetV2", "Compressive Transformer" ]	3D
Predict which model least fits with the others	model_modality	[ "Strided Attention", "MPNet", "ProphetNet", "Deformable DETR" ]	3D
Predict which model least fits with the others	model_modality	[ "GoogLeNet", "Composed Video Retrieval", "Commute Times Layer", "YOLOv1" ]	2C
Predict which model least fits with the others	model_modality	[ "Automated Graph Learning", "Strain Elevation Tension Spring embedding", "Graph Convolutional Networks for Fake News Detection", "DynaBERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Deeper Atrous Spatial Pyramid Pooling", "ResNeXt-Elastic", "SRGAN", "Attentive Walk-Aggregating Graph Neural Network" ]	3D
Predict which model least fits with the others	model_modality	[ "Ape-X DQN", "Replacing Eligibility Trace", "Kaleido-BERT", "Deep Q-Network" ]	2C
Predict which model least fits with the others	model_modality	[ "Q-Learning", "Xception", "Scale Aggregation Block", "NICE-SLAM: Neural Implicit Scalable Encoding for SLAM" ]	0A
Predict which model least fits with the others	model_modality	[ "Taylor Expansion Policy Optimization", "Sarsa Lambda", "Kalman Optimization for Value Approximation", "ALDA" ]	3D
Predict which model least fits with the others	model_modality	[ "Fractal Block", "RegNetX", "Inception-A", "Packed Levitated Markers" ]	3D
Predict which model least fits with the others	model_modality	[ "Generative Emotion Estimator", "Position-Sensitive RoI Pooling", "Fast-YOLOv2", "Contextual Word Vectors" ]	3D
Predict which model least fits with the others	model_modality	[ "Transformer", "Gated Graph Sequence Neural Networks", "Hyperboloid Embeddings", "FastGCN" ]	0A
Predict which model least fits with the others	model_modality	[ "LipGAN", "UL2", "FractalNet", "Instances-Pixels Balance Index" ]	1B
Predict which model least fits with the others	model_modality	[ "RetinaNet-RS", "BRepNet", "Inverted Bottleneck BERT", "Soft-NMS" ]	2C
Predict which model least fits with the others	model_modality	[ "Bottleneck Transformer", "Linformer", "Focus", "WordPiece" ]	0A
Predict which model least fits with the others	model_modality	[ "GraphSAGE", "Levenshtein Transformer", "MacBERT", "Poincaré Embeddings" ]	0A
Predict which model least fits with the others	model_modality	[ "Feedback Transformer", "Lbl2Vec", "MultiGrain", "WordPiece" ]	2C
Predict which model least fits with the others	model_modality	[ "MoViNet", "Spatial Group-wise Enhance", "ShuffleNet V2 Downsampling Block", "Sentence-BERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Depthwise Fire Module", "(2+1)D Convolution", "N-step Returns", "LOGAN" ]	2C
Predict which model least fits with the others	model_modality	[ "Vision-aided GAN", "GPT-NeoX", "Sliced Iterative Generator", "Class activation guide" ]	1B
Predict which model least fits with the others	model_modality	[ "SepFormer", "FastPitch", "AccoMontage", "HaloNet" ]	3D
Predict which model least fits with the others	model_modality	[ "Deep-MAC", "MDTVSFA", "Selective Search", "Attentive Walk-Aggregating Graph Neural Network" ]	3D
Predict which model least fits with the others	model_modality	[ "ALBEF", "StyleMapGAN", "PP-YOLOv2", "ALBERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Soft Actor Critic", "Compressive Transformer", "Random Ensemble Mixture", "MuZero" ]	1B
Predict which model least fits with the others	model_modality	[ "Graph Convolutional Networks for Fake News Detection", "Feature Fusion Module v2", "Unified VLP", "LMOT: Efficient Light-Weight Detection and Tracking in Crowds" ]	0A
Predict which model least fits with the others	model_modality	[ "Dilated Convolution", "Class activation guide", "CascadePSP", "Galactica" ]	3D
Predict which model least fits with the others	model_modality	[ "Side-Aware Boundary Localization", "imGHUM", "Attentive Walk-Aggregating Graph Neural Network", "DeltaConv" ]	2C
Predict which model least fits with the others	model_modality	[ "Cross-encoder Reranking", "Transformer-XL", "HRNet", "GPT-4" ]	2C
Predict which model least fits with the others	model_modality	[ "Fast Feedforward Networks", "Cutout", "Random Erasing", "TopK Copy" ]	3D
Predict which model least fits with the others	model_modality	[ "Quantum Process Tomography", "SKNet", "Patch Merger Module", "Feature-Aligned Person Search Network" ]	0A
Predict which model least fits with the others	model_modality	[ "CLIPort", "MobileNetV3", "KNN and IOU based verification", "DeepLabv2" ]	0A
Predict which model least fits with the others	model_modality	[ "Depth-wise Plane Sweeping", "Seq2Edits", "RoIAlign", "PReLU-Net" ]	1B
Predict which model least fits with the others	model_modality	[ "Double Q-learning", "OFA", "WenLan", "DiCENet" ]	0A
Predict which model least fits with the others	model_modality	[ "Root-of-Mean-Squared Pooling", "BasicVSR", "Panoptic FPN", "Instruction Pointer Attention Graph Neural Network" ]	3D
Predict which model least fits with the others	model_modality	[ "Conditional Relation Network", "Instances-Pixels Balance Index", "Siamese Multi-depth Transformer-based Hierarchical Encoder", "Switchable Atrous Convolution" ]	2C
Predict which model least fits with the others	model_modality	[ "Parsing Incrementally for Constrained Auto-Regressive Decoding", "Differential Diffusion", "High-resolution Deep Convolutional Generative Adversarial Networks", "DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement" ]	0A
Predict which model least fits with the others	model_modality	[ "VGG and variational Model Decomposition", "BLOOMZ", "Panoptic-PolarNet", "RegNetX" ]	1B
Predict which model least fits with the others	model_modality	[ "MobileBERT", "MPRNet", "Channel-wise Cross Fusion Transformer", "OpenPose" ]	0A
Predict which model least fits with the others	model_modality	[ "EsViT", "Flan-T5", "Generative Adversarial Transformer", "SimCSE" ]	0A
Predict which model least fits with the others	model_modality	[ "Single-Shot Multi-Object Tracker", "GreedyNAS-C", "Modularity preserving NMF", "Deformable Kernel" ]	2C
Predict which model least fits with the others	model_modality	[ "UCNet", "Deep Convolutional GAN", "LeNet", "RAG" ]	3D
Predict which model least fits with the others	model_modality	[ "R(2+1)D", "Deep Graph Convolutional Neural Network", "Revision Network", "Denoising Autoencoder" ]	1B
Predict which model least fits with the others	model_modality	[ "Instruction Pointer Attention Graph Neural Network", "Invertible 1x1 Convolution", "Paddle Anchor Free Network", "VoVNetV2" ]	0A
Predict which model least fits with the others	model_modality	[ "CurricularFace", "VQ-VAE-2", "Local Mixup", "Electric" ]	3D
Predict which model least fits with the others	model_modality	[ "OPT", "Recursive Feature Pyramid", "ControlVAE", "Revision Network" ]	0A
Predict which model least fits with the others	model_modality	[ "ProxylessNet-CPU", "H3DNet", "Temporal Word Embeddings with a Compass", "ResNeSt" ]	2C
Predict which model least fits with the others	model_modality	[ "CSPDarknet53", "Packed Levitated Markers", "DALL·E 2", "Conditional Position Encoding Vision Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "PCA Whitening", "Stand-Alone Self Attention", "Heterogeneous Molecular Graph Neural Network", "Mask R-CNN" ]	2C
Predict which model least fits with the others	model_modality	[ "Inverted Bottleneck BERT", "Gated Attention Networks", "Neural network for graphs", "MinCut Pooling" ]	0A
Predict which model least fits with the others	model_modality	[ "ClipBERT", "VisualBERT", "Siamese Multi-depth Transformer-based Hierarchical Encoder", "ProphetNet" ]	1B
Predict which model least fits with the others	model_modality	[ "Hourglass Module", "ALBERT", "AutoAugment", "Beta-VAE" ]	1B
Predict which model least fits with the others	model_modality	[ "Local Importance-based Pooling", "Go-Explore", "DenseNAS-B", "Class-Attention in Image Transformers" ]	1B
Predict which model least fits with the others	model_modality	[ "Fire Module", "Region Proposal Network", "VL-T5", "Inverse Q-Learning" ]	3D
Predict which model least fits with the others	model_modality	[ "High-resolution input", "Dense Prediction Transformer", "Bi-Directional Graph Convolutional Network", "AutoAugment" ]	2C
Predict which model least fits with the others	model_modality	[ "CANINE", "TSDAE", "Variational Graph Auto Encoder", "K3M" ]	2C
Predict which model least fits with the others	model_modality	[ "RotatE", "Temporal Graph Network", "ChebNet", "Learning Cross-Modality Encoder Representations from Transformers" ]	3D
Predict which model least fits with the others	model_modality	[ "Cluster-GCN", "TridentNet Block", "Fast AutoAugment", "Deep-CAPTCHA" ]	0A
Predict which model least fits with the others	model_modality	[ "HRNet", "Random Grayscale", "TD Lambda", "Spatial Broadcast Decoder" ]	2C
Predict which model least fits with the others	model_modality	[ "O-Net", "ATTEMPT THIS FATHINETUTE TO REPOPULATE ALREADY POPULATED SYSTEM", "CANINE", "Batchboost" ]	2C
Predict which model least fits with the others	model_modality	[ "Unified VLP", "ProxylessNet-CPU", "DeepDrug", "PoolFormer" ]	2C
Predict which model least fits with the others	model_modality	[ "Sparse R-CNN", "DeepLab", "Macaw", "RetinaNet" ]	2C
Predict which model least fits with the others	model_modality	[ "MobileDet", "Ghost Module", "TopK Copy", "ZCA Whitening" ]	2C
Predict which model least fits with the others	model_modality	[ "A3C", "Self-critical Sequence Training", "NoisyNet-A3C", "Medical Entity Disambiguation using Graph Neural Networks" ]	3D
Predict which model least fits with the others	model_modality	[ "CoordConv", "VERtex Similarity Embeddings", "Florence", "ResNeXt" ]	1B
Predict which model least fits with the others	model_modality	[ "GloVe Embeddings", "Meta Face Recognition", "Aligning Latent and Image Spaces", "Conditional Convolutions for Instance Segmentation" ]	0A
Predict which model least fits with the others	model_modality	[ "Spectrally Normalised GAN", "Convolution", "Squeeze aggregated excitation network", "Performer" ]	3D
Predict which model least fits with the others	model_modality	[ "Accumulating Eligibility Trace", "Sarsa Lambda", "Contrastive BERT", "DeepSIM" ]	3D
Predict which model least fits with the others	model_modality	[ "POMO", "Class activation guide", "True Online TD Lambda", "NoisyNet-DQN" ]	1B
Predict which model least fits with the others	model_modality	[ "Stand-Alone Self Attention", "Global Local Attention Module", "Gated Convolution Network", "HaloNet" ]	2C
Predict which model least fits with the others	model_modality	[ "pixel2style2pixel", "Edge-augmented Graph Transformer", "Contrastive Language-Image Pre-training", "CrossTransformers" ]	1B
Predict which model least fits with the others	model_modality	[ "BLANC", "GPT", "Glow-TTS", "Galactica" ]	2C
Predict which model least fits with the others	model_modality	[ "Deep Stereo Geometry Network", "Invertible 1x1 Convolution", "GPT-2", "Local Patch Interaction" ]	2C
Predict which model least fits with the others	model_modality	[ "Deep Graph Infomax", "BS-Net", "Global Local Attention Module", "Bilateral Guided Aggregation Layer" ]	0A
Predict which model least fits with the others	model_modality	[ "CARAFE", "InfoGAN", "Soft Nearest Neighbor Loss with Annealing Temperature", "Spectral Gap Rewiring Layer" ]	3D
Predict which model least fits with the others	model_modality	[ "OFA", "Random Erasing", "Sandwich Transformer", "AlexNet" ]	2C
Predict which model least fits with the others	model_modality	[ "DeLighT", "Matching The Statements", "Continuous Kernel Convolution", "GPT-4" ]	2C
Predict which model least fits with the others	model_modality	[ "Composed Video Retrieval", "Inception-v3 Module", "CornerNet", "Graph InfoClust" ]	3D
Predict which model least fits with the others	model_modality	[ "Hierarchical Entity Graph Convolutional Network", "Inception-v4", "Nyströmformer", "Meena" ]	1B
Predict which model least fits with the others	model_modality	[ "Deep Residual Pansharpening Neural Network", "StyleALAE", "Inception-v3 Module", "Longformer" ]	3D
Predict which model least fits with the others	model_modality	[ "Contextual Residual Aggregation", "Vision-Language pretrained Model", "DeepIR", "TSDAE" ]	3D
Predict which model least fits with the others	model_modality	[ "EMQAP", "ECA-Net", "Simple Visual Language Model", "Dynamic Keypoint Head" ]	0A
Predict which model least fits with the others	model_modality	[ "Parallel Layers", "AutoTinyBERT", "CharacterBERT", "Phase Gradient Heap Integration" ]	3D
Predict which model least fits with the others	model_modality	[ "Visual-Linguistic BERT", "DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement", "CenterPoint", "Skip-gram Word2Vec" ]	3D
Predict which model least fits with the others	model_modality	[ "Fisher-BRC", "Fractal Block", "Max Pooling", "Soft Pooling" ]	0A
Predict which model least fits with the others	model_modality	[ "ClipBERT", "Relational Graph Convolution Network", "Contextual Residual Aggregation", "Random Mix-up" ]	1B
Predict which model least fits with the others	model_modality	[ "RAG", "Mixed Depthwise Convolution", "Convolutional LSTM based Residual Network", "Single-path NAS" ]	0A
Predict which model least fits with the others	model_modality	[ "Tacotron2", "Canonical Tensor Decomposition with N3 Regularizer", "Graph InfoClust", "Cluster-GCN" ]	0A
Predict which model least fits with the others	model_modality	[ "Galactica", "MuVER", "Universal Language Model Fine-tuning", "Graph Transformer" ]	3D
Predict which model least fits with the others	model_modality	[ "ProxylessNet-CPU", "PixLoc", "Noise2Fast", "Graph Attention Network v2" ]	3D
Predict which model least fits with the others	model_modality	[ "Mirror Descent Policy Optimization", "Inverse Q-Learning", "Grid R-CNN", "MuZero" ]	2C
Predict which model least fits with the others	model_modality	[ "OFA", "DenseNAS-C", "Generative Adversarial Transformer", "Prime Dilated Convolution" ]	2C

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